Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Locations: Houston ,TX - Onsite About the job you're considering: Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients. We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills. Your Role: Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in the Energy & Utilities sector. Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions. Support data collection, cleaning, and preprocessing activities for AI initiatives. Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services. Utilize platforms such as Databricks, PySpark, and modern AI frameworks. Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency. Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders. Contribute to project documentation, reports, and client deliverables. Develop reusable assets, demos, and solution accelerators. Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape. Foster a collaborative environment, actively sharing knowledge and best practices within the team. Required Qualifications Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles. Demonstrable background in the Energy & Utilities sector, specifically with OFSC (Oracle Field Service Cloud), Oil & Gas, or general Utilities industry knowledge. Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts. Proficiency in at least one AI-centric programming language (e.g., Python). Experience with: Generative AI concepts (GPT, Claude, LLMs) MLOps, model deployment, and monitoring LangChain and Retrieval-Augmented Generation (RAG) concepts REST APIs, JSON, Authentication, and Integration patterns Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy) Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis) Strong analytical, problem-solving, and critical thinking skills. Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations. Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment. Preferred Qualifications: Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD). Experience with any of the following: data visualization tools and techniques Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn) NLP computer vision graph database technology (Neo4J, Ontotext) JIRA / Confluence Prior project or internship experience in a consulting environment. The base compensation range for this role in the posted location is:$46,000 to $111,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/26/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Locations: Houston ,TX - Onsite About the job you're considering: Capgemini is seeking an enthusiastic and driven Junior AI-Native Consultant to join our dynamic Energy & Utilities sector team. This role is designed for emerging talent passionate about leveraging Artificial Intelligence to solve complex industry challenges. You will contribute to innovative projects, applying advanced AI/ML techniques to optimize operations, enhance decision-making, and drive digital transformation for our clients. We are looking for individuals who possess a strong foundational understanding of AI concepts and have a minimum of 15 months of professional experience within the Oracle Field Service Cloud (OFSC), Oil & Gas, or broader Utilities domain. This is a client-facing role that requires excellent communication and problem-solving skills. Your Role: Collaborate with senior consultants and client teams to identify business challenges and opportunities for AI-driven solutions in the Energy & Utilities sector. Assist in the design, development, and deployment of AI/ML models, including Generative AI and Predictive AI solutions. Support data collection, cleaning, and preprocessing activities for AI initiatives. Work with leading cloud technologies (Azure, AWS, GCP) and their AI/ML services. Utilize platforms such as Databricks, PySpark, and modern AI frameworks. Develop agentic AI workflows and intelligent agents to automate tasks and improve operational efficiency. Participate in client workshops and presentations, effectively articulating technical concepts to diverse stakeholders. Contribute to project documentation, reports, and client deliverables. Develop reusable assets, demos, and solution accelerators. Stay current with emerging AI technologies and industry trends, particularly within the Energy & Utilities landscape. Foster a collaborative environment, actively sharing knowledge and best practices within the team. Required Qualifications Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field. Minimum of 15 months of professional (non-internship) work experience in data science, AI, or machine learning roles. Demonstrable background in the Energy & Utilities sector, specifically with OFSC (Oracle Field Service Cloud), Oil & Gas, or general Utilities industry knowledge. Foundational knowledge of Artificial Intelligence, Machine Learning, and Deep Learning concepts. Proficiency in at least one AI-centric programming language (e.g., Python). Experience with: Generative AI concepts (GPT, Claude, LLMs) MLOps, model deployment, and monitoring LangChain and Retrieval-Augmented Generation (RAG) concepts REST APIs, JSON, Authentication, and Integration patterns Deployment tools (Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy) Data engineering principles, including SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis) Strong analytical, problem-solving, and critical thinking skills. Excellent communication, presentation, and interpersonal skills, with proven ability to engage effectively in client-facing situations. Ability to quickly adapt to new technologies and thrive in a fast-paced, evolving environment. Preferred Qualifications: Familiarity with industry-specific tools such as Seeq and historians (e.g., PHD). Experience with any of the following: data visualization tools and techniques Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn) NLP computer vision graph database technology (Neo4J, Ontotext) JIRA / Confluence Prior project or internship experience in a consulting environment. The base compensation range for this role in the posted location is:$46,000 to $111,000. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
We are seeking a Principal Product Manager to lead product strategy and execution for OCI Developer Tool Products focused on how OCI customers and internal engineering teams use modern cloud-native and AI-native tools to develop, release, and operate software more effectively. A central part of this role will be helping development teams transition to AI-native software development practices. You will identify where AI can meaningfully reduce friction, improve productivity, raise code quality, accelerate onboarding, and help developers better understand complex systems. You will work closely with engineering, UX, platform teams, security, compliance, and customers to define product direction, prioritize high-impact investments, and deliver tools that make development more intuitive, efficient, and intelligent. Responsibilities Qualifications 7+ years of professional experience in product management, technical product strategy, or related roles Experience building or managing developer experience products, developer tools, cloud platforms, IDE integrations, source control workflows, code review systems, test automation, internal developer platforms, or engineering productivity products Strong understanding of developer workflows in the Develop phase of the SDLC, including planning, coding, local development, branching strategies, pull requests, code review, testing, debugging, documentation, and onboarding Experience working with engineering teams on technically complex products and translating developer needs into clear product requirements, roadmaps, and execution plans Ability to define product strategy across multiple related product areas and align stakeholders around measurable developer experience outcomes Familiarity with AI-assisted development, generative AI, agentic workflows, developer copilots, automation, or AI/ML product capabilities Strong analytical skills, including the ability to use product usage data, developer feedback, productivity metrics, and business goals to guide prioritization Excellent communication skills with the ability to influence senior technical and business stakeholders Preferred Qualifications Experience with cloud infrastructure, platform engineering, internal developer platforms, or enterprise-scale software development environments Experience launching 0-to-1 products or modernizing established developer experience products Understanding of AI-native development patterns, including AI-assisted coding, repository-aware agents, code explanation, automated code review, test generation, debugging assistance, documentation generation, and workflow automation Experience with security, compliance, governance, or audit requirements in enterprise development workflows Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Responsibilities Key Responsibilities Define the product strategy and roadmap for OCI Developer Tool Products focused on improving the developer experience in the Develop phase of the SDLC Identify high-value opportunities to reduce friction across developer workflows, including coding, local development, code review, testing, debugging, onboarding, documentation, and service comprehension Lead the transition toward AI-native development practices by defining product capabilities that help developers work more effectively with AI-assisted and agentic tools Partner with engineering, UX, security, compliance, and internal platform teams to shape developer experiences that work for both individual developers and large engineering organizations Translate complex developer needs into clear product requirements, success metrics, and phased delivery plans Drive customer discovery with internal and external developers to understand pain points, validate product direction, and measure improvements in developer experience Prioritize product investments using developer impact, adoption data, technical feasibility, business value, and strategic alignment Define requirements for AI-assisted development workflows, including coding assistants, repository-aware agents, automated review, test generation, documentation support, debugging assistance, and development workflow automation Establish feedback mechanisms that connect developer behavior, tool usage, code quality, review patterns, and productivity signals back into product planning Collaborate with documentation, enablement, support, and go-to-market teams to ensure successful adoption of new developer tooling capabilities Measure product success through adoption, engagement, developer satisfaction, productivity improvements, reduced development friction, and code quality signals Help shape the future of software development on OCI by making the developer experience more intelligent, efficient, reliable, and AI-native. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,900 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
09/26/2026
Full time
We are seeking a Principal Product Manager to lead product strategy and execution for OCI Developer Tool Products focused on how OCI customers and internal engineering teams use modern cloud-native and AI-native tools to develop, release, and operate software more effectively. A central part of this role will be helping development teams transition to AI-native software development practices. You will identify where AI can meaningfully reduce friction, improve productivity, raise code quality, accelerate onboarding, and help developers better understand complex systems. You will work closely with engineering, UX, platform teams, security, compliance, and customers to define product direction, prioritize high-impact investments, and deliver tools that make development more intuitive, efficient, and intelligent. Responsibilities Qualifications 7+ years of professional experience in product management, technical product strategy, or related roles Experience building or managing developer experience products, developer tools, cloud platforms, IDE integrations, source control workflows, code review systems, test automation, internal developer platforms, or engineering productivity products Strong understanding of developer workflows in the Develop phase of the SDLC, including planning, coding, local development, branching strategies, pull requests, code review, testing, debugging, documentation, and onboarding Experience working with engineering teams on technically complex products and translating developer needs into clear product requirements, roadmaps, and execution plans Ability to define product strategy across multiple related product areas and align stakeholders around measurable developer experience outcomes Familiarity with AI-assisted development, generative AI, agentic workflows, developer copilots, automation, or AI/ML product capabilities Strong analytical skills, including the ability to use product usage data, developer feedback, productivity metrics, and business goals to guide prioritization Excellent communication skills with the ability to influence senior technical and business stakeholders Preferred Qualifications Experience with cloud infrastructure, platform engineering, internal developer platforms, or enterprise-scale software development environments Experience launching 0-to-1 products or modernizing established developer experience products Understanding of AI-native development patterns, including AI-assisted coding, repository-aware agents, code explanation, automated code review, test generation, debugging assistance, documentation generation, and workflow automation Experience with security, compliance, governance, or audit requirements in enterprise development workflows Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Responsibilities Key Responsibilities Define the product strategy and roadmap for OCI Developer Tool Products focused on improving the developer experience in the Develop phase of the SDLC Identify high-value opportunities to reduce friction across developer workflows, including coding, local development, code review, testing, debugging, onboarding, documentation, and service comprehension Lead the transition toward AI-native development practices by defining product capabilities that help developers work more effectively with AI-assisted and agentic tools Partner with engineering, UX, security, compliance, and internal platform teams to shape developer experiences that work for both individual developers and large engineering organizations Translate complex developer needs into clear product requirements, success metrics, and phased delivery plans Drive customer discovery with internal and external developers to understand pain points, validate product direction, and measure improvements in developer experience Prioritize product investments using developer impact, adoption data, technical feasibility, business value, and strategic alignment Define requirements for AI-assisted development workflows, including coding assistants, repository-aware agents, automated review, test generation, documentation support, debugging assistance, and development workflow automation Establish feedback mechanisms that connect developer behavior, tool usage, code quality, review patterns, and productivity signals back into product planning Collaborate with documentation, enablement, support, and go-to-market teams to ensure successful adoption of new developer tooling capabilities Measure product success through adoption, engagement, developer satisfaction, productivity improvements, reduced development friction, and code quality signals Help shape the future of software development on OCI by making the developer experience more intelligent, efficient, reliable, and AI-native. Qualifications Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $92,900 to $209,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment. Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives. True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling 1- in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Job Summary As a Senior SOC Engineer (AI & Automation), you will design, build, and operate the AI, automation, and detection-engineering capabilities that power our Security Operations Center. Bridging security operations and software engineering, you will develop AI-driven detection, triage, and response tooling, integrate large language model (LLM) and agentic workflows into analyst operations, and ensure those capabilities are accurate, safe, measurable, and continuously improved. As a senior member of the team, you will also serve as a technical leader during major security incidents, leading investigations and turning lessons learned into stronger detections, automations, and playbooks. Responsibilities • Design, build, and maintain AI/ML- and automation-driven capabilities for alert enrichment, correlation, summarization, triage, and prioritization. • Develop and maintain SOAR automations and detection-as-code pipelines that are version-controlled, tested, and peer-reviewed. • Integrate LLM and agentic AI tooling into SOC workflows (copilots, auto-triage agents); engineer prompts, guardrails, and evaluation harnesses. • Evaluate, benchmark, and tune AI models and tools for security use cases, measuring precision and recall, false-positive reduction, and impact on mean time to detect and respond (MTTD/MTTR). • Build data pipelines and feature engineering from security telemetry to support detection and machine-learning use cases. • Apply MLOps practices, including model versioning, monitoring, drift detection, and retraining, to security models running in production. • Ensure responsible and secure AI use, including data governance, prompt-injection and model-abuse defenses, privacy, and output validation. • Partner with detection engineers, SOC analysts, and incident responders to operationalize tooling and feed lessons learned back into models and automations. • Serve as a senior escalation point and incident commander for complex and major incidents, coordinating cross-functional response and directing technical workstreams. • Lead investigations and forensic analysis for escalated incidents and provide hands-on incident response support across on-premises and cloud environments. • Own post-incident reviews and root cause analyses, translating lessons learned into new detections, automations, and playbook improvements. • Develop, run, and mature incident-response playbooks and tabletop exercises (TTX) to validate and improve organizational readiness. • Define and report detection and incident-response metrics (e.g., MTTD, MTTR) to measure and continuously improve SOC effectiveness. • Mentor analysts and engineers, fostering a culture of continuous learning across AI-augmented and incident-response workflows, and promote an AI-first operating model across the SOC. Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience • 7+ years of combined experience across security operations, incident response, and software engineering • Hands-on incident response and digital forensics experience, including leading or coordinating response to complex and major incidents preffered • Strong programming skills (e.g., Python) and sound software-engineering practices, including version control, CI/CD, and automated testing • Hands-on experience building with AI/ML, including large language models, prompt engineering, retrieval-augmented generation (RAG), and/or agentic frameworks • Experience with SOAR/automation and detection engineering (detection-as-code) • Data engineering skills, including working with large security datasets, APIs, and pipelines • Working knowledge of SOC operations and the incident lifecycle, including the MITRE ATT&CK framework, the NIST incident response lifecycle (NIST SP 800-61), the Cyber Kill Chain, and SANS PICERL • Cloud security and cloud-platform experience • Awareness of AI and LLM security risks, such as prompt injection and the OWASP LLM Top 10 • Ability to translate fluently between security and engineering stakeholders. Preferred Qualifications • MLOps experience deploying and maintaining models in production • Relevant security and/or AI/ML certifications, including incident-response and forensics credentials (e.g., GCIH, GCFA, GCFE, GNFA) or CISSP/CISM At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $100,246.00 - $164,689.00 / year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.
09/26/2026
Full time
Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Job Summary As a Senior SOC Engineer (AI & Automation), you will design, build, and operate the AI, automation, and detection-engineering capabilities that power our Security Operations Center. Bridging security operations and software engineering, you will develop AI-driven detection, triage, and response tooling, integrate large language model (LLM) and agentic workflows into analyst operations, and ensure those capabilities are accurate, safe, measurable, and continuously improved. As a senior member of the team, you will also serve as a technical leader during major security incidents, leading investigations and turning lessons learned into stronger detections, automations, and playbooks. Responsibilities • Design, build, and maintain AI/ML- and automation-driven capabilities for alert enrichment, correlation, summarization, triage, and prioritization. • Develop and maintain SOAR automations and detection-as-code pipelines that are version-controlled, tested, and peer-reviewed. • Integrate LLM and agentic AI tooling into SOC workflows (copilots, auto-triage agents); engineer prompts, guardrails, and evaluation harnesses. • Evaluate, benchmark, and tune AI models and tools for security use cases, measuring precision and recall, false-positive reduction, and impact on mean time to detect and respond (MTTD/MTTR). • Build data pipelines and feature engineering from security telemetry to support detection and machine-learning use cases. • Apply MLOps practices, including model versioning, monitoring, drift detection, and retraining, to security models running in production. • Ensure responsible and secure AI use, including data governance, prompt-injection and model-abuse defenses, privacy, and output validation. • Partner with detection engineers, SOC analysts, and incident responders to operationalize tooling and feed lessons learned back into models and automations. • Serve as a senior escalation point and incident commander for complex and major incidents, coordinating cross-functional response and directing technical workstreams. • Lead investigations and forensic analysis for escalated incidents and provide hands-on incident response support across on-premises and cloud environments. • Own post-incident reviews and root cause analyses, translating lessons learned into new detections, automations, and playbook improvements. • Develop, run, and mature incident-response playbooks and tabletop exercises (TTX) to validate and improve organizational readiness. • Define and report detection and incident-response metrics (e.g., MTTD, MTTR) to measure and continuously improve SOC effectiveness. • Mentor analysts and engineers, fostering a culture of continuous learning across AI-augmented and incident-response workflows, and promote an AI-first operating model across the SOC. Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience • 7+ years of combined experience across security operations, incident response, and software engineering • Hands-on incident response and digital forensics experience, including leading or coordinating response to complex and major incidents preffered • Strong programming skills (e.g., Python) and sound software-engineering practices, including version control, CI/CD, and automated testing • Hands-on experience building with AI/ML, including large language models, prompt engineering, retrieval-augmented generation (RAG), and/or agentic frameworks • Experience with SOAR/automation and detection engineering (detection-as-code) • Data engineering skills, including working with large security datasets, APIs, and pipelines • Working knowledge of SOC operations and the incident lifecycle, including the MITRE ATT&CK framework, the NIST incident response lifecycle (NIST SP 800-61), the Cyber Kill Chain, and SANS PICERL • Cloud security and cloud-platform experience • Awareness of AI and LLM security risks, such as prompt injection and the OWASP LLM Top 10 • Ability to translate fluently between security and engineering stakeholders. Preferred Qualifications • MLOps experience deploying and maintaining models in production • Relevant security and/or AI/ML certifications, including incident-response and forensics credentials (e.g., GCIH, GCFA, GCFE, GNFA) or CISSP/CISM At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $100,246.00 - $164,689.00 / year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.
Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Job Summary As a Senior SOC Engineer (AI & Automation), you will design, build, and operate the AI, automation, and detection-engineering capabilities that power our Security Operations Center. Bridging security operations and software engineering, you will develop AI-driven detection, triage, and response tooling, integrate large language model (LLM) and agentic workflows into analyst operations, and ensure those capabilities are accurate, safe, measurable, and continuously improved. As a senior member of the team, you will also serve as a technical leader during major security incidents, leading investigations and turning lessons learned into stronger detections, automations, and playbooks. Responsibilities • Design, build, and maintain AI/ML- and automation-driven capabilities for alert enrichment, correlation, summarization, triage, and prioritization. • Develop and maintain SOAR automations and detection-as-code pipelines that are version-controlled, tested, and peer-reviewed. • Integrate LLM and agentic AI tooling into SOC workflows (copilots, auto-triage agents); engineer prompts, guardrails, and evaluation harnesses. • Evaluate, benchmark, and tune AI models and tools for security use cases, measuring precision and recall, false-positive reduction, and impact on mean time to detect and respond (MTTD/MTTR). • Build data pipelines and feature engineering from security telemetry to support detection and machine-learning use cases. • Apply MLOps practices, including model versioning, monitoring, drift detection, and retraining, to security models running in production. • Ensure responsible and secure AI use, including data governance, prompt-injection and model-abuse defenses, privacy, and output validation. • Partner with detection engineers, SOC analysts, and incident responders to operationalize tooling and feed lessons learned back into models and automations. • Serve as a senior escalation point and incident commander for complex and major incidents, coordinating cross-functional response and directing technical workstreams. • Lead investigations and forensic analysis for escalated incidents and provide hands-on incident response support across on-premises and cloud environments. • Own post-incident reviews and root cause analyses, translating lessons learned into new detections, automations, and playbook improvements. • Develop, run, and mature incident-response playbooks and tabletop exercises (TTX) to validate and improve organizational readiness. • Define and report detection and incident-response metrics (e.g., MTTD, MTTR) to measure and continuously improve SOC effectiveness. • Mentor analysts and engineers, fostering a culture of continuous learning across AI-augmented and incident-response workflows, and promote an AI-first operating model across the SOC. Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience • 7+ years of combined experience across security operations, incident response, and software engineering • Hands-on incident response and digital forensics experience, including leading or coordinating response to complex and major incidents preffered • Strong programming skills (e.g., Python) and sound software-engineering practices, including version control, CI/CD, and automated testing • Hands-on experience building with AI/ML, including large language models, prompt engineering, retrieval-augmented generation (RAG), and/or agentic frameworks • Experience with SOAR/automation and detection engineering (detection-as-code) • Data engineering skills, including working with large security datasets, APIs, and pipelines • Working knowledge of SOC operations and the incident lifecycle, including the MITRE ATT&CK framework, the NIST incident response lifecycle (NIST SP 800-61), the Cyber Kill Chain, and SANS PICERL • Cloud security and cloud-platform experience • Awareness of AI and LLM security risks, such as prompt injection and the OWASP LLM Top 10 • Ability to translate fluently between security and engineering stakeholders. Preferred Qualifications • MLOps experience deploying and maintaining models in production • Relevant security and/or AI/ML certifications, including incident-response and forensics credentials (e.g., GCIH, GCFA, GCFE, GNFA) or CISSP/CISM At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $100,246.00 - $164,689.00 / year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.
09/26/2026
Full time
Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Job Summary As a Senior SOC Engineer (AI & Automation), you will design, build, and operate the AI, automation, and detection-engineering capabilities that power our Security Operations Center. Bridging security operations and software engineering, you will develop AI-driven detection, triage, and response tooling, integrate large language model (LLM) and agentic workflows into analyst operations, and ensure those capabilities are accurate, safe, measurable, and continuously improved. As a senior member of the team, you will also serve as a technical leader during major security incidents, leading investigations and turning lessons learned into stronger detections, automations, and playbooks. Responsibilities • Design, build, and maintain AI/ML- and automation-driven capabilities for alert enrichment, correlation, summarization, triage, and prioritization. • Develop and maintain SOAR automations and detection-as-code pipelines that are version-controlled, tested, and peer-reviewed. • Integrate LLM and agentic AI tooling into SOC workflows (copilots, auto-triage agents); engineer prompts, guardrails, and evaluation harnesses. • Evaluate, benchmark, and tune AI models and tools for security use cases, measuring precision and recall, false-positive reduction, and impact on mean time to detect and respond (MTTD/MTTR). • Build data pipelines and feature engineering from security telemetry to support detection and machine-learning use cases. • Apply MLOps practices, including model versioning, monitoring, drift detection, and retraining, to security models running in production. • Ensure responsible and secure AI use, including data governance, prompt-injection and model-abuse defenses, privacy, and output validation. • Partner with detection engineers, SOC analysts, and incident responders to operationalize tooling and feed lessons learned back into models and automations. • Serve as a senior escalation point and incident commander for complex and major incidents, coordinating cross-functional response and directing technical workstreams. • Lead investigations and forensic analysis for escalated incidents and provide hands-on incident response support across on-premises and cloud environments. • Own post-incident reviews and root cause analyses, translating lessons learned into new detections, automations, and playbook improvements. • Develop, run, and mature incident-response playbooks and tabletop exercises (TTX) to validate and improve organizational readiness. • Define and report detection and incident-response metrics (e.g., MTTD, MTTR) to measure and continuously improve SOC effectiveness. • Mentor analysts and engineers, fostering a culture of continuous learning across AI-augmented and incident-response workflows, and promote an AI-first operating model across the SOC. Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience • 7+ years of combined experience across security operations, incident response, and software engineering • Hands-on incident response and digital forensics experience, including leading or coordinating response to complex and major incidents preffered • Strong programming skills (e.g., Python) and sound software-engineering practices, including version control, CI/CD, and automated testing • Hands-on experience building with AI/ML, including large language models, prompt engineering, retrieval-augmented generation (RAG), and/or agentic frameworks • Experience with SOAR/automation and detection engineering (detection-as-code) • Data engineering skills, including working with large security datasets, APIs, and pipelines • Working knowledge of SOC operations and the incident lifecycle, including the MITRE ATT&CK framework, the NIST incident response lifecycle (NIST SP 800-61), the Cyber Kill Chain, and SANS PICERL • Cloud security and cloud-platform experience • Awareness of AI and LLM security risks, such as prompt injection and the OWASP LLM Top 10 • Ability to translate fluently between security and engineering stakeholders. Preferred Qualifications • MLOps experience deploying and maintaining models in production • Relevant security and/or AI/ML certifications, including incident-response and forensics credentials (e.g., GCIH, GCFA, GCFE, GNFA) or CISSP/CISM At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $100,246.00 - $164,689.00 / year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.
Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: The Senior Manager, Marketing Applications owns executional excellence across the marketing technology application portfolio end to end including its people, platforms, integrations, and operational health. That means ensuring each platform, from identity resolution to asset management to channel delivery, runs reliably, integrates seamlessly with others, and stays ahead of the people it serves, anticipating what marketers and guests need and delivering capabilities before they think to ask. This is not solely a vendor-management seat. The successful candidate blends platform and portfolio judgment with a genuine engineering foundation: someone who understands how these systems are deployed, integrated, and automated, and who can go deep with the team on architecture, CI/CD, AI-assisted engineering, and code when it matters while building an accountable, collaborative team culture. Job Specifications: Starting Wage: $112,000 - $159,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: People and Team Leadership Lead, coach, and develop the team, in-house engineers and an offshore development pod, with accountability for delivery, operations, and team growth; set clear expectations and performance objectives through regular one-on-ones and development planning, and build growth paths toward technical lead roles. Stand up and sustain the offshore support model for operational and monitoring coverage scaling it as new platforms enter the portfolio. Portfolio and Platform Ownership Own individual platform roadmaps and ensure they align with the enterprise MarTech roadmap; partner with peers and leadership on portfolio strategy, including build-vs-buy decisions, consolidation opportunities, capability gaps, and total cost of ownership. Lead the evaluation and onboarding of new applications into the portfolio, defining the support tier, ownership, monitoring, and integration standards for each platform before go-live. Own vendor relationships with engineers; serve as a senior escalation point for platform incidents and vendor performance, owning operational SLAs in partnership with the QE and Operations organization. Engineering and Operations Ensure modern delivery practices across both SaaS configuration and custom development: release management, CI/CD, environment and deployment structure, and integration architecture. Maintain operational excellence across platforms with real uptime and deliverability stakes; ensure incidents drive root-cause analysis and corrective action. Identify and deliver AI opportunities in how the team works, AI-assisted engineering as the default, automated code review and testing, agentic automation of runbooks, campaign QA tooling, and in GTM capabilities such as personalization and send orchestration. Strategy and Stakeholder Engagement Translate marketing stakeholders' campaign and lifecycle ambitions into platform capabilities and realistic roadmaps. Partner with the Solution Architect on integration architecture and platform decisions, and with centralized Delivery (PM/TPO) and shared QE/Ops on staffing and execution in a matrixed model. Communicate service health, priorities, risks, and progress clearly to technical and non-technical audiences, from the team through senior leadership. Job Requirements: Bachelor's degree in computer science, management information systems, or a related discipline, or equivalent experience. 7+ years in software engineering, including 3+ years of people-management or technical leadership experience serving as a technical lead accountable for delivery, mentoring, and engineering standards. Experience building and operating across a multi-platform environment spanning commercial SaaS and custom-built applications in production, including at least one application where your team owned the codebase, deployments, and incidents - not exclusively managed SaaS administration. Strong technical foundation: has designed or materially contributed to deployment architecture, CI/CD pipelines, and API/event-driven integration patterns. Familiarity with iPaaS/ETL pipelines and cloud data warehouse; working knowledge of cloud infrastructure and container orchestration (Kubernetes or equivalent); can still read and reason about code (JavaScript and SQL in particular). Experience in marketing technology domains, CDP, ESP/mobile messaging, content management, journey builders, or integration platforms; including supporting high-volume consumer messaging in production (deliverability, send orchestration, campaign quality). Experience working with platform vendors on escalations, support, and roadmap input; contract ownership experience a plus. Practical experience applying AI tooling to engineering work: AI-assisted development, agentic workflows, etc. Preferred Qualifications: Experience with complex identity resolution and the cloud data warehouses that support it (Databricks or comparable). Direct experience with Amperity or a comparable CDP, SnapLogic or a comparable iPaaS, AEM, Airship, Mailgun, or building/operating a proprietary ESP. Experience directing offshore/BPO delivery teams across time zones. The expected Total Compensation for this role is $112,000 - $159,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Vail Resorts offers a 'Hybrid' work environment where employees living within 50 miles of the Broomfield office work on-site Tuesday, Wednesday, Thursday and have flexibility to work off-site on Mondays and Fridays. Employees living outside of a commutable distance can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517787 Reference Date: 09/22/2026 Job Code Function: Developer
09/26/2026
Full time
Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: The Senior Manager, Marketing Applications owns executional excellence across the marketing technology application portfolio end to end including its people, platforms, integrations, and operational health. That means ensuring each platform, from identity resolution to asset management to channel delivery, runs reliably, integrates seamlessly with others, and stays ahead of the people it serves, anticipating what marketers and guests need and delivering capabilities before they think to ask. This is not solely a vendor-management seat. The successful candidate blends platform and portfolio judgment with a genuine engineering foundation: someone who understands how these systems are deployed, integrated, and automated, and who can go deep with the team on architecture, CI/CD, AI-assisted engineering, and code when it matters while building an accountable, collaborative team culture. Job Specifications: Starting Wage: $112,000 - $159,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: People and Team Leadership Lead, coach, and develop the team, in-house engineers and an offshore development pod, with accountability for delivery, operations, and team growth; set clear expectations and performance objectives through regular one-on-ones and development planning, and build growth paths toward technical lead roles. Stand up and sustain the offshore support model for operational and monitoring coverage scaling it as new platforms enter the portfolio. Portfolio and Platform Ownership Own individual platform roadmaps and ensure they align with the enterprise MarTech roadmap; partner with peers and leadership on portfolio strategy, including build-vs-buy decisions, consolidation opportunities, capability gaps, and total cost of ownership. Lead the evaluation and onboarding of new applications into the portfolio, defining the support tier, ownership, monitoring, and integration standards for each platform before go-live. Own vendor relationships with engineers; serve as a senior escalation point for platform incidents and vendor performance, owning operational SLAs in partnership with the QE and Operations organization. Engineering and Operations Ensure modern delivery practices across both SaaS configuration and custom development: release management, CI/CD, environment and deployment structure, and integration architecture. Maintain operational excellence across platforms with real uptime and deliverability stakes; ensure incidents drive root-cause analysis and corrective action. Identify and deliver AI opportunities in how the team works, AI-assisted engineering as the default, automated code review and testing, agentic automation of runbooks, campaign QA tooling, and in GTM capabilities such as personalization and send orchestration. Strategy and Stakeholder Engagement Translate marketing stakeholders' campaign and lifecycle ambitions into platform capabilities and realistic roadmaps. Partner with the Solution Architect on integration architecture and platform decisions, and with centralized Delivery (PM/TPO) and shared QE/Ops on staffing and execution in a matrixed model. Communicate service health, priorities, risks, and progress clearly to technical and non-technical audiences, from the team through senior leadership. Job Requirements: Bachelor's degree in computer science, management information systems, or a related discipline, or equivalent experience. 7+ years in software engineering, including 3+ years of people-management or technical leadership experience serving as a technical lead accountable for delivery, mentoring, and engineering standards. Experience building and operating across a multi-platform environment spanning commercial SaaS and custom-built applications in production, including at least one application where your team owned the codebase, deployments, and incidents - not exclusively managed SaaS administration. Strong technical foundation: has designed or materially contributed to deployment architecture, CI/CD pipelines, and API/event-driven integration patterns. Familiarity with iPaaS/ETL pipelines and cloud data warehouse; working knowledge of cloud infrastructure and container orchestration (Kubernetes or equivalent); can still read and reason about code (JavaScript and SQL in particular). Experience in marketing technology domains, CDP, ESP/mobile messaging, content management, journey builders, or integration platforms; including supporting high-volume consumer messaging in production (deliverability, send orchestration, campaign quality). Experience working with platform vendors on escalations, support, and roadmap input; contract ownership experience a plus. Practical experience applying AI tooling to engineering work: AI-assisted development, agentic workflows, etc. Preferred Qualifications: Experience with complex identity resolution and the cloud data warehouses that support it (Databricks or comparable). Direct experience with Amperity or a comparable CDP, SnapLogic or a comparable iPaaS, AEM, Airship, Mailgun, or building/operating a proprietary ESP. Experience directing offshore/BPO delivery teams across time zones. The expected Total Compensation for this role is $112,000 - $159,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Vail Resorts offers a 'Hybrid' work environment where employees living within 50 miles of the Broomfield office work on-site Tuesday, Wednesday, Thursday and have flexibility to work off-site on Mondays and Fridays. Employees living outside of a commutable distance can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517787 Reference Date: 09/22/2026 Job Code Function: Developer
The Dyrt is the largest digital camping platform in the world and is the only camping app with all camping locations in the U.S. Every second, a new user visits The Dyrt to access our community-driven campground information. If you are a camper who loves the outdoors and want to be part of a fast-growing consumer app, you're in the right place. The Role: 24 hours/week Monday-Wednesday This role spans both of our frontend codebases, with the mobile app as the primary focus. Most of your time will be spent in our React Native codebase, on work ranging from highly interactive tools like our search page and Trip Planner to page performance on our campground listings. You will also regularly pick up work on our Next.js website. AI-assisted development is a core part of how we work. Our engineering team uses Claude Code heavily for day-to-day development, and we expect you to be comfortable working this way: using agentic coding tools to move faster while applying your own judgment to review, refine, and take full ownership of the code that ships. This role is intentionally structured around a 3-day weekly operating cadence (Mon-Wed). You'll be working on a team with 3-4 other frontend developers. Key Responsibilities: Participate in requirement analysis along with the team Execute on new features and improvement projects in our React Native app Contribute to feature work and improvements on our Next.js website alongside your mobile work Translate comps and wireframes into component execution and delivery plans Estimate complexity of tasks when new projects are brought to the team Use Claude Code as part of your daily development workflow, and critically review all AI-generated code for correctness, performance, and maintainability before it ships Experience & Requirements: At least 4 years of professional experience developing with JavaScript and modern component-based frameworks, with React Native as your primary strength and working proficiency in ReactJS for the web React Native (primary): Experience and an understanding of developing with and debugging React Native and the npm/package management React/Next.js web (secondary, but required): Comfortable building and maintaining production web features with React; Next.js experience (routing, SSR/SSG, performance) is a strong plus AI-assisted development: Hands-on experience with Claude Code or similar agentic coding tools (Cursor, Copilot, etc.). You are comfortable directing them effectively, validating their output, and knowing when to rely on them versus writing code yourself. We use Claude Code heavily, so direct experience with it is a strong plus Android app development: Some proficiency with Android App development and tools. Experience with the Google release process and setup of the Android Development Environment iOS app development: Some proficiency with iOS App development and tools. Experience with the Apple release process and setting up the iOS Development Environment which is a lot more involved than Android. Proficiency in Certificate management and renewals Bitrise: Familiarity with automated build systems such as Bitrise (or Jenkins) CSS: Experience doing UI work with CSS Maintain and enhance existing code quality, organization, and automation Have strong writing and communication skills for documenting technical requirements and coordinating with other teams Identify and resolve performance concerns and look for opportunities to reduce technical debt Experience with collaborative design tools such as Figma or Sketch Extras: Experience tailoring Claude Code to a team's workflow, such as CLAUDE.md conventions, custom skills/commands, or MCP integrations Swift and Objective-C: For occasional work in iOS native code Kotlin and Java: For occasional work in Android native code Firebase: Experience using Google tools such as Remote Config and A/B tooling would help. Sentry or Crashlytics: Experience debugging using external analytic tools Experience with Bitrise/Jenkins/Codefresh Experience with offline mobile functionality Experience with elasticsearch Can do performance tuning of app and database code Ability to accurately estimate feature complete work including documentation and testing Ability to validate timescales defined by a product owner Working Here: With over 300M annual impressions, The Dyrt is the only camping app with all of the public and private campgrounds, RV parks, and free camping locations in the United States, along with millions of user-generated campground reviews. The Dyrt is also the advertising platform for brands looking to get in front of campers in the US. The Dyrt works with companies like Toyota, T-mobile, Nature Bakery, and Smartwool, to help campers find their next adventure. The Dyrt is built by campers, for campers. Whether you're new to the outdoors or have been sleeping under the stars for decades, what matters is that you share that passion. We pride ourselves on a team that is down-to-earth, driven to execute beyond expectations, and have a daily drive to win. This is a part-time, remote position. Employees are expected to maintain high-speed internet and a professional working environment sufficient for clear video conferencing during standard working hours. Must work in a U.S. time zone. Our founders even work from their van. The Dyrt is an equal opportunity workplace. We believe that the outdoors are for everyone, and are committed to building an inclusive platform and community that celebrates all people. Interested candidates should submit a cover letter and resume.
09/26/2026
Full time
The Dyrt is the largest digital camping platform in the world and is the only camping app with all camping locations in the U.S. Every second, a new user visits The Dyrt to access our community-driven campground information. If you are a camper who loves the outdoors and want to be part of a fast-growing consumer app, you're in the right place. The Role: 24 hours/week Monday-Wednesday This role spans both of our frontend codebases, with the mobile app as the primary focus. Most of your time will be spent in our React Native codebase, on work ranging from highly interactive tools like our search page and Trip Planner to page performance on our campground listings. You will also regularly pick up work on our Next.js website. AI-assisted development is a core part of how we work. Our engineering team uses Claude Code heavily for day-to-day development, and we expect you to be comfortable working this way: using agentic coding tools to move faster while applying your own judgment to review, refine, and take full ownership of the code that ships. This role is intentionally structured around a 3-day weekly operating cadence (Mon-Wed). You'll be working on a team with 3-4 other frontend developers. Key Responsibilities: Participate in requirement analysis along with the team Execute on new features and improvement projects in our React Native app Contribute to feature work and improvements on our Next.js website alongside your mobile work Translate comps and wireframes into component execution and delivery plans Estimate complexity of tasks when new projects are brought to the team Use Claude Code as part of your daily development workflow, and critically review all AI-generated code for correctness, performance, and maintainability before it ships Experience & Requirements: At least 4 years of professional experience developing with JavaScript and modern component-based frameworks, with React Native as your primary strength and working proficiency in ReactJS for the web React Native (primary): Experience and an understanding of developing with and debugging React Native and the npm/package management React/Next.js web (secondary, but required): Comfortable building and maintaining production web features with React; Next.js experience (routing, SSR/SSG, performance) is a strong plus AI-assisted development: Hands-on experience with Claude Code or similar agentic coding tools (Cursor, Copilot, etc.). You are comfortable directing them effectively, validating their output, and knowing when to rely on them versus writing code yourself. We use Claude Code heavily, so direct experience with it is a strong plus Android app development: Some proficiency with Android App development and tools. Experience with the Google release process and setup of the Android Development Environment iOS app development: Some proficiency with iOS App development and tools. Experience with the Apple release process and setting up the iOS Development Environment which is a lot more involved than Android. Proficiency in Certificate management and renewals Bitrise: Familiarity with automated build systems such as Bitrise (or Jenkins) CSS: Experience doing UI work with CSS Maintain and enhance existing code quality, organization, and automation Have strong writing and communication skills for documenting technical requirements and coordinating with other teams Identify and resolve performance concerns and look for opportunities to reduce technical debt Experience with collaborative design tools such as Figma or Sketch Extras: Experience tailoring Claude Code to a team's workflow, such as CLAUDE.md conventions, custom skills/commands, or MCP integrations Swift and Objective-C: For occasional work in iOS native code Kotlin and Java: For occasional work in Android native code Firebase: Experience using Google tools such as Remote Config and A/B tooling would help. Sentry or Crashlytics: Experience debugging using external analytic tools Experience with Bitrise/Jenkins/Codefresh Experience with offline mobile functionality Experience with elasticsearch Can do performance tuning of app and database code Ability to accurately estimate feature complete work including documentation and testing Ability to validate timescales defined by a product owner Working Here: With over 300M annual impressions, The Dyrt is the only camping app with all of the public and private campgrounds, RV parks, and free camping locations in the United States, along with millions of user-generated campground reviews. The Dyrt is also the advertising platform for brands looking to get in front of campers in the US. The Dyrt works with companies like Toyota, T-mobile, Nature Bakery, and Smartwool, to help campers find their next adventure. The Dyrt is built by campers, for campers. Whether you're new to the outdoors or have been sleeping under the stars for decades, what matters is that you share that passion. We pride ourselves on a team that is down-to-earth, driven to execute beyond expectations, and have a daily drive to win. This is a part-time, remote position. Employees are expected to maintain high-speed internet and a professional working environment sufficient for clear video conferencing during standard working hours. Must work in a U.S. time zone. Our founders even work from their van. The Dyrt is an equal opportunity workplace. We believe that the outdoors are for everyone, and are committed to building an inclusive platform and community that celebrates all people. Interested candidates should submit a cover letter and resume.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions. Your Role • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. • Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner. • Utilize Vertex AI for model training, tuning, deployment, and lifecycle management. • Build and optimize streaming data pipelines using Dataflow to enable real-time inference through RunInference API or Vertex AI endpoints. • Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance. • Develop and deploy AI-powered applications leveraging Google Cloud Platform (GCP) services. • Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services. • Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers. • Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures. • Work in a team covering business and technology with representatives from client to produce overall quality delivery. Your skills and experience • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions. • Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK). • Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment. • Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation. • Experience with data preprocessing techniques including scaling, encoding, and imputation. • Hands-on experience with Google Cloud Storage, Vertex AI endpoints, and cloud-native GCP services. • Experience building and optimizing streaming data pipelines using Dataflow and real-time inference architectures. • Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines. • Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies. • Familiarity with stateful real-time processing and emerging agentic architecture innovations. • Strong understanding of cloud infrastructure, scalability, security, monitoring, and performance optimization. • Experience performing debugging, troubleshooting, and optimization of AI and data platforms. • Experience working in Agile/Scrum delivery environments. • Strong analytical thinking and problem-solving skills. • Strong communication and collaboration skills with cross-functional teams. The base compensation range for this role in the posted location is $68,911 to $161,544 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/26/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions. Your Role • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. • Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner. • Utilize Vertex AI for model training, tuning, deployment, and lifecycle management. • Build and optimize streaming data pipelines using Dataflow to enable real-time inference through RunInference API or Vertex AI endpoints. • Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance. • Develop and deploy AI-powered applications leveraging Google Cloud Platform (GCP) services. • Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services. • Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers. • Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures. • Work in a team covering business and technology with representatives from client to produce overall quality delivery. Your skills and experience • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions. • Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK). • Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment. • Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation. • Experience with data preprocessing techniques including scaling, encoding, and imputation. • Hands-on experience with Google Cloud Storage, Vertex AI endpoints, and cloud-native GCP services. • Experience building and optimizing streaming data pipelines using Dataflow and real-time inference architectures. • Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines. • Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies. • Familiarity with stateful real-time processing and emerging agentic architecture innovations. • Strong understanding of cloud infrastructure, scalability, security, monitoring, and performance optimization. • Experience performing debugging, troubleshooting, and optimization of AI and data platforms. • Experience working in Agile/Scrum delivery environments. • Strong analytical thinking and problem-solving skills. • Strong communication and collaboration skills with cross-functional teams. The base compensation range for this role in the posted location is $68,911 to $161,544 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions. Your Role • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. • Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner. • Utilize Vertex AI for model training, tuning, deployment, and lifecycle management. • Build and optimize streaming data pipelines using Dataflow to enable real-time inference through RunInference API or Vertex AI endpoints. • Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance. • Develop and deploy AI-powered applications leveraging Google Cloud Platform (GCP) services. • Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services. • Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers. • Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures. • Work in a team covering business and technology with representatives from client to produce overall quality delivery. Your skills and experience • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions. • Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK). • Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment. • Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation. • Experience with data preprocessing techniques including scaling, encoding, and imputation. • Hands-on experience with Google Cloud Storage, Vertex AI endpoints, and cloud-native GCP services. • Experience building and optimizing streaming data pipelines using Dataflow and real-time inference architectures. • Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines. • Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies. • Familiarity with stateful real-time processing and emerging agentic architecture innovations. • Strong understanding of cloud infrastructure, scalability, security, monitoring, and performance optimization. • Experience performing debugging, troubleshooting, and optimization of AI and data platforms. • Experience working in Agile/Scrum delivery environments. • Strong analytical thinking and problem-solving skills. • Strong communication and collaboration skills with cross-functional teams. The base compensation range for this role in the posted location is $68,911 to $161,544 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/26/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Atlanta GA and Nashville TN. About the job you're considering Capgemini is hiring an Onsite Senior Software Engineer to work with a scrum team in an onshore-offshore delivery model. The ideal candidate will be responsible for designing and implementing agentic AI solutions on Google Cloud Platform, leveraging Vertex AI, advanced data platforms, and modern AI architectures to solve complex business challenges while collaborating with business and technology teams to deliver high-quality solutions. Your Role • Develop intelligent agents using Vertex AI Agent Builder to automate complex business workflows. • Leverage the Agent Developer Kit (ADK) to build and manage multi-agent systems that collaborate to solve end-to-end business challenges. • Implement tools such as MCP (Model Context Protocol) Toolbox to securely connect agents to enterprise databases including BigQuery and Spanner. • Utilize Vertex AI for model training, tuning, deployment, and lifecycle management. • Build and optimize streaming data pipelines using Dataflow to enable real-time inference through RunInference API or Vertex AI endpoints. • Ground AI models in live business context using vector engines within BigQuery or AlloyDB to improve accuracy and contextual relevance. • Develop and deploy AI-powered applications leveraging Google Cloud Platform (GCP) services. • Work with cloud-native architectures and integrate applications with GCP-hosted APIs and services. • Actively participate in internal and client-facing meetings, providing regular updates on project milestones and technical blockers. • Collaborate with business and technology stakeholders to translate high-level business goals into scalable technical architectures. • Work in a team covering business and technology with representatives from client to produce overall quality delivery. Your skills and experience • 3-6 years of experience in AI/ML engineering, cloud development, or data engineering with a strong focus on Google Cloud Platform solutions. • Proven experience developing agentic AI solutions using Vertex AI Agent Builder and Agent Developer Kit (ADK). • Strong expertise with Vertex AI, including Model Garden, Vertex AI Pipelines, model evaluation, training, tuning, and deployment. • Advanced knowledge of SQL for BigQuery and Python for machine learning engineering and automation. • Experience with data preprocessing techniques including scaling, encoding, and imputation. • Hands-on experience with Google Cloud Storage, Vertex AI endpoints, and cloud-native GCP services. • Experience building and optimizing streaming data pipelines using Dataflow and real-time inference architectures. • Knowledge of vector search, retrieval-augmented generation (RAG), and contextual grounding using BigQuery or AlloyDB vector engines. • Experience implementing secure enterprise integrations using MCP (Model Context Protocol) and related technologies. • Familiarity with stateful real-time processing and emerging agentic architecture innovations. • Strong understanding of cloud infrastructure, scalability, security, monitoring, and performance optimization. • Experience performing debugging, troubleshooting, and optimization of AI and data platforms. • Experience working in Agile/Scrum delivery environments. • Strong analytical thinking and problem-solving skills. • Strong communication and collaboration skills with cross-functional teams. The base compensation range for this role in the posted location is $68,911 to $161,544 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada is the leading cloud-managed physical security platform, uniting hardware, software, and AI to deliver enterprise-scale security and insights. At the core of our mission is video-powering everything from real-time monitoring to historical playback for tens of thousands of organizations worldwide. The Streaming team owns the full-stack infrastructure powering the video experience for over 1.4M Verkada cameras. We take on complex streaming challenges to deliver live and recorded video with unmatched speed, reliability, and security. By continually advancing our technology, we ensure that every frame-whether live or months old-is always available instantly, seamlessly, and securely. As a Backend Engineer (Video Streaming) , your work will directly shape how millions of people rely on video every day to stay safe. You'll design backend systems that scale seamlessly in both usage and cost, while delivering industry-leading reliability and security. At the same time, you'll help make our streaming infrastructure more efficient, interoperable, and future-proof. What You'll Do Design and evolve highly scalable, cloud-native services that power video and audio streaming for millions of devices. Architect and optimize distributed, real-time data pipelines that connect cameras, the cloud, and end users with low latency and high reliability. Build and operate a high-performance video transcoding and multiplexing service that is fault-tolerant, cost-efficient, and capable of scaling to massive workloads. Define and refine service-oriented architectures, APIs, and interfaces that enable streaming to scale seamlessly across our platform. Develop clean, reliable, and testable backend code that performs under heavy load and ensures a flawless customer experience. Collaborate cross-functionally with product, hardware, and infrastructure teams to deliver new video capabilities and experiences that raise the bar for the industry. Champion engineering excellence by driving performance, reliability, and best practices across the organization. What You Bring 7+ years of backend development experience in Go or Python. 7+ years experience designing and building large-scale, resilient distributed systems using service-oriented or microservice architectures. 6+ years experience with cloud infrastructure, containerization, and deployment automation (AWS, Docker, Kubernetes, or similar). 6+ years experience with databases, queues, blob storage, and distributed systems fundamentals. You bring a systems design mindset, able to simplify complex workflows and deliver scalable, efficient solutions. You care deeply about performance, reliability, and security, and have a track record of building services that excel in all three. You thrive in a fast-paced environment, demonstrate creativity and sound judgment, and take ownership of problems end to end. Bonus: you've worked with IoT devices, real-time streaming technologies, or multimedia formats such as H.264/H.265, FFmpeg, or similar pipelines. US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $130,000-$300,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
09/26/2026
Full time
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Role Verkada is the leading cloud-managed physical security platform, uniting hardware, software, and AI to deliver enterprise-scale security and insights. At the core of our mission is video-powering everything from real-time monitoring to historical playback for tens of thousands of organizations worldwide. The Streaming team owns the full-stack infrastructure powering the video experience for over 1.4M Verkada cameras. We take on complex streaming challenges to deliver live and recorded video with unmatched speed, reliability, and security. By continually advancing our technology, we ensure that every frame-whether live or months old-is always available instantly, seamlessly, and securely. As a Backend Engineer (Video Streaming) , your work will directly shape how millions of people rely on video every day to stay safe. You'll design backend systems that scale seamlessly in both usage and cost, while delivering industry-leading reliability and security. At the same time, you'll help make our streaming infrastructure more efficient, interoperable, and future-proof. What You'll Do Design and evolve highly scalable, cloud-native services that power video and audio streaming for millions of devices. Architect and optimize distributed, real-time data pipelines that connect cameras, the cloud, and end users with low latency and high reliability. Build and operate a high-performance video transcoding and multiplexing service that is fault-tolerant, cost-efficient, and capable of scaling to massive workloads. Define and refine service-oriented architectures, APIs, and interfaces that enable streaming to scale seamlessly across our platform. Develop clean, reliable, and testable backend code that performs under heavy load and ensures a flawless customer experience. Collaborate cross-functionally with product, hardware, and infrastructure teams to deliver new video capabilities and experiences that raise the bar for the industry. Champion engineering excellence by driving performance, reliability, and best practices across the organization. What You Bring 7+ years of backend development experience in Go or Python. 7+ years experience designing and building large-scale, resilient distributed systems using service-oriented or microservice architectures. 6+ years experience with cloud infrastructure, containerization, and deployment automation (AWS, Docker, Kubernetes, or similar). 6+ years experience with databases, queues, blob storage, and distributed systems fundamentals. You bring a systems design mindset, able to simplify complex workflows and deliver scalable, efficient solutions. You care deeply about performance, reliability, and security, and have a track record of building services that excel in all three. You thrive in a fast-paced environment, demonstrate creativity and sound judgment, and take ownership of problems end to end. Bonus: you've worked with IoT devices, real-time streaming technologies, or multimedia formats such as H.264/H.265, FFmpeg, or similar pipelines. US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $130,000-$300,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About this Role As a Hardware Engineer on our hardware team, you will lead the design and development of Verkada's newest products. Verkada's Hardware Engineers own all electrical engineering design and validation aspects, working directly with our JDM partners to ship cutting-edge products. This is a full-time, in-person role based in our San Mateo, CA office. What You'll Do Lead electrical engineering for new products from initial proof of concept through to mass production. Collaborate with US and an international team of hardware engineers, mechanical engineers, industrial designers, software engineers and product managers to develop new products. Own component selection, schematic and layout development based on the architecture you have created. Own and maintain Hardware Requirements Document, ensuring it accurately captures all system-level and component-level hardware specifications Quickly prototype new product concepts for mock-up builds and proof of concept studies. Get hands-on with board bring-up, debug, testing and validation. Build and execute robust test plans by leveraging resources at our JDM/ODM partners. Lead root cause analysis efforts related to EMI/EMC, surge, thermal, OTA prescan, other RF testing and more. Lead JDM teams to efficiently and effectively complete programs. Work closely with manufacturing partners to steer hardware designs through design and validation builds (EVT, DVT, PVT) and into mass production. Collaborate with manufacturing partners to review designs, run experiments, and troubleshoot issues. Lead compliance / regulatory efforts for relevant hardware products. What You Bring B.S. in Electrical Engineering; M.S. preferred. 3+ years experience in designing new electronics products. Ability to travel internationally up to 15%. US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $95,000-$280,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
09/26/2026
Full time
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About this Role As a Hardware Engineer on our hardware team, you will lead the design and development of Verkada's newest products. Verkada's Hardware Engineers own all electrical engineering design and validation aspects, working directly with our JDM partners to ship cutting-edge products. This is a full-time, in-person role based in our San Mateo, CA office. What You'll Do Lead electrical engineering for new products from initial proof of concept through to mass production. Collaborate with US and an international team of hardware engineers, mechanical engineers, industrial designers, software engineers and product managers to develop new products. Own component selection, schematic and layout development based on the architecture you have created. Own and maintain Hardware Requirements Document, ensuring it accurately captures all system-level and component-level hardware specifications Quickly prototype new product concepts for mock-up builds and proof of concept studies. Get hands-on with board bring-up, debug, testing and validation. Build and execute robust test plans by leveraging resources at our JDM/ODM partners. Lead root cause analysis efforts related to EMI/EMC, surge, thermal, OTA prescan, other RF testing and more. Lead JDM teams to efficiently and effectively complete programs. Work closely with manufacturing partners to steer hardware designs through design and validation builds (EVT, DVT, PVT) and into mass production. Collaborate with manufacturing partners to review designs, run experiments, and troubleshoot issues. Lead compliance / regulatory efforts for relevant hardware products. What You Bring B.S. in Electrical Engineering; M.S. preferred. 3+ years experience in designing new electronics products. Ability to travel internationally up to 15%. US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $95,000-$280,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. What You'll Do Own the end-to-end development of on-device camera platform features in C++ and Golang . Collaborate with the product team to turn requirements into scalable, production-ready solutions aligned with product vision and customer needs. Partner with streaming, storage, and AI engineering teams to deliver features optimized for edge computing environments . Lead code reviews, guide debugging efforts, and uphold coding standards to ensure a high-quality, maintainable codebase . Drive and coordinate regular over-the-air (OTA) releases, balancing speed of delivery with stability and reliability. What You Bring BS/MS in Computer Science, Electrical Engineering, or related field. 5+ years of professional experience in systems software development for performance- and resource-constrained environments. Proficient in at least one systems programming language: C++ or Golang . 2+ years of experience building software for Linux-based platforms . Strong understanding of modern operating systems , computer architecture , and trade-offs between compute, memory, and storage . Familiarity with Bash scripting and Python for tooling and automation. Excellent communication and documentation skills, with the ability to collaborate across engineering and product teams. Must be willing and able to work onsite five days per week Nice to Have Experience in development of on-device software for cloud-connected devices . Familiar with Linux Kernel development . US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $130,000-$280,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
09/26/2026
Full time
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. What You'll Do Own the end-to-end development of on-device camera platform features in C++ and Golang . Collaborate with the product team to turn requirements into scalable, production-ready solutions aligned with product vision and customer needs. Partner with streaming, storage, and AI engineering teams to deliver features optimized for edge computing environments . Lead code reviews, guide debugging efforts, and uphold coding standards to ensure a high-quality, maintainable codebase . Drive and coordinate regular over-the-air (OTA) releases, balancing speed of delivery with stability and reliability. What You Bring BS/MS in Computer Science, Electrical Engineering, or related field. 5+ years of professional experience in systems software development for performance- and resource-constrained environments. Proficient in at least one systems programming language: C++ or Golang . 2+ years of experience building software for Linux-based platforms . Strong understanding of modern operating systems , computer architecture , and trade-offs between compute, memory, and storage . Familiarity with Bash scripting and Python for tooling and automation. Excellent communication and documentation skills, with the ability to collaborate across engineering and product teams. Must be willing and able to work onsite five days per week Nice to Have Experience in development of on-device software for cloud-connected devices . Familiar with Linux Kernel development . US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $130,000-$280,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. What You'll Do Work cross-functionally with hardware team to develop camera features in C++ and Python. Lead code reviews, debugging, and bug fixes. Experiment/test with new development boards. Make regular contributions to existing code base to push new features OTA on a frequent basis. What You Bring BS/MS in Computer Science (or similar degree) 5+ years of experience of software development for Linux in System Programming Languages (C, C++, Rust, etc) Proficient in modern C++ Experience in embedded development or experience with low-level system software development. Good knowledge with operating systems and computer architecture. Familiar with at least one scripting language (Python, Bash, etc). Good communication & documentation skills. Must be willing and able to work onsite five days per week Nice to Have Experience in Machine Learning or Computer Vision Experience in heterogeneous computing, e.g. GPU, DSP, or other coprocessor / accelerator. US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $130,000-$280,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
09/26/2026
Full time
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. What You'll Do Work cross-functionally with hardware team to develop camera features in C++ and Python. Lead code reviews, debugging, and bug fixes. Experiment/test with new development boards. Make regular contributions to existing code base to push new features OTA on a frequent basis. What You Bring BS/MS in Computer Science (or similar degree) 5+ years of experience of software development for Linux in System Programming Languages (C, C++, Rust, etc) Proficient in modern C++ Experience in embedded development or experience with low-level system software development. Good knowledge with operating systems and computer architecture. Familiar with at least one scripting language (Python, Bash, etc). Good communication & documentation skills. Must be willing and able to work onsite five days per week Nice to Have Experience in Machine Learning or Computer Vision Experience in heterogeneous computing, e.g. GPU, DSP, or other coprocessor / accelerator. US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $130,000-$280,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
09/26/2026
Full time
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
09/26/2026
Full time
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
09/26/2026
Full time
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
09/26/2026
Full time
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
09/26/2026
Full time
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
09/26/2026
Full time
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
09/26/2026
Full time
Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the role As an embedded security engineer on the Device Security Team, you'll work with an amazing team of security, firmware, and backend engineers entrusted with the mission of protecting our fleet of physical security products from threats. You'll help define the security & privacy roadmap for Verkada's devices, build tooling and software to measure & improve security posture, and partner closely with product teams to bake secure-by-design principles into our products. What You'll Do Develop & drive security requirements for the hardware and firmware that goes onto the devices we ship to our customers to improve the security of Verkada's products and exceed customer expectations. Build security tooling to ensure secure development best practices. Perform red team/offensive assessments against firmware & devices. Triage and recommend solutions for security bugs from tools, third party assessments and bug bounties. Develop threat models & attack trees, and participate in security design & code reviews. Explore innovative solutions to enable Verkada business instead of "Security says No". Collaborate with the CISO and security team to grow the broader Verkada security program. Share your security experience with other teams internally and externally via security conferences and blogs, and help your peer engineers grow their own security reasoning. What You Bring Bachelor of Science in Computer Science, Computer Engineering, or equivalent. 8+ years of experience as a security engineer, software engineer, or security consultant. Familiarity with security weaknesses, exploits, attacks and mitigations. Excellent written & verbal communication & collaborative skills. Deep knowledge of Linux-based operating system internals & network protocols. Knowledge of hardware security features such as secure boot, TrustZone, disk encryption, or mandatory access control. Working cryptography knowledge around primitives, protocols and applications. US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $130,000-$280,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
09/26/2026
Full time
Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the role As an embedded security engineer on the Device Security Team, you'll work with an amazing team of security, firmware, and backend engineers entrusted with the mission of protecting our fleet of physical security products from threats. You'll help define the security & privacy roadmap for Verkada's devices, build tooling and software to measure & improve security posture, and partner closely with product teams to bake secure-by-design principles into our products. What You'll Do Develop & drive security requirements for the hardware and firmware that goes onto the devices we ship to our customers to improve the security of Verkada's products and exceed customer expectations. Build security tooling to ensure secure development best practices. Perform red team/offensive assessments against firmware & devices. Triage and recommend solutions for security bugs from tools, third party assessments and bug bounties. Develop threat models & attack trees, and participate in security design & code reviews. Explore innovative solutions to enable Verkada business instead of "Security says No". Collaborate with the CISO and security team to grow the broader Verkada security program. Share your security experience with other teams internally and externally via security conferences and blogs, and help your peer engineers grow their own security reasoning. What You Bring Bachelor of Science in Computer Science, Computer Engineering, or equivalent. 8+ years of experience as a security engineer, software engineer, or security consultant. Familiarity with security weaknesses, exploits, attacks and mitigations. Excellent written & verbal communication & collaborative skills. Deep knowledge of Linux-based operating system internals & network protocols. Knowledge of hardware security features such as secure boot, TrustZone, disk encryption, or mandatory access control. Working cryptography knowledge around primitives, protocols and applications. US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans Nationwide medical, vision and dental coverage Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options Expanded mental health support Paid parental leave policy & fertility benefits Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time Professional development stipend Fertility Stipend Wellness/fitness benefits Healthy lunches provided daily Commuter benefits Additional Information We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa. Annual Pay Range At Verkada, we want to attract and retain the best employees, and compensate them in a way that appropriately and fairly values their individual contribution to the company. With that in mind, we carefully consider a number of factors to determine the appropriate starting pay for an employee, including their primary work location and an assessment of a candidate's skills and experience, as well as market demands and internal parity. A Verkada employee may be eligible for additional forms of compensation, depending on their role, including sales incentives, discretionary bonuses, and/or equity in the company in the form of restricted stock units (RSUs) Below is the annual on-target earnings (OTE) range for full-time employees for this position, comprised of base compensation and commissions (if applicable). Estimated Annual Pay Range $130,000-$280,000 USD Verkada Is An Equal Opportunity Employer As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. Your application will be handled in accordance with our Candidate Privacy Policy.
