35 jobs found

BMO Financial seeks a Senior Data Scientist to drive data driven decisions across retail and commercial banking, wealth, and risk. You will design, build, and deploy advanced machine learning models for credit risk, fraud detection, pricing, personalization, and forecasting. Partner with product, risk, and technology teams to translate business problems into analytical solutions, build production ready pipelines, and communicate insights to senior leaders. You'll work in an inclusive, growth oriented culture with strong learning support, DEI initiatives, and competitive total rewards. Responsibilities Design, build, and validate machine learning and statistical models for credit risk, fraud detection, and customer analytics Translate business problems into analytical frameworks and measurable outcomes Develop scalable data pipelines and features in collaboration with engineering teams Deploy models into production and monitor performance, stability, and drift Communicate findings and recommendations to senior stakeholders using clear storytelling and visualizations Collaborate with risk, product, and operations teams to embed models into decision workflows Ensure models meet regulatory, compliance, and model risk governance standards Mentor junior data scientists and contribute to best practices, code reviews, and tooling Required Skills Machine learning Statistical modeling Python RSQLData wrangling and feature engineering Cloud platforms (AWS/Azure/GCP) Data visualization (Tableau/Power BI) Model deployment/ML Ops Risk and fraud analytics Time series forecasting

BMO Financial seeks a Principal Engineer AI to lead the design and delivery of enterprise AI solutions across our banking, wealth, and capital markets businesses. You will define AI architecture, build scalable ML platforms, and deploy secure, compliant models into production for use cases such as risk, fraud, and personalization. Partnering with data, product, and risk leaders, you'll set engineering standards, champion MLOps and Responsible AI practices, mentor teams, and evaluate emerging AI/LLM technologies to drive innovation in a highly regulated environment. Responsibilities Define and own AI architecture for enterprise-scale financial use cases (risk, fraud, personalization). Design, build, and deploy production-grade ML/AI services and platforms on cloud infrastructure. Collaborate with data, product, and risk teams to translate business problems into AI solutions. Establish best practices for MLOps, model monitoring, and Responsible AI/governance. Mentor and guide engineers and data scientists, setting technical standards and patterns. Ensure security, compliance, and performance for AI workloads in a regulated environment. Evaluate and integrate emerging AI technologies, including LLMs and generative AI. Required Skills AI/ML architecture design Python and production-grade coding Machine learning frameworks (Tensor Flow, Py Torch, Scikit-learn) MLOps and CI/CD for MLCloud platforms (AWS, GCP, or Azure) Data engineering and pipelines (Spark, Kafka, SQL) Microservices and API design Model monitoring and observability Security, compliance, and Responsible AITechnical leadership and mentoring

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs and security researchers to codify security analytics into the service. These researchers apply advanced statistics, machine learning, and deep learning algorithms to build new detections across a range of domains - including cloud security, network security, and the emerging field of AI security - and you will help turn that research into production systems at AWS scale. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Own the full software development lifecycle, including scoping, planning, conception, design, implementation, testing, documentation, delivery, and maintenance. - Conduct design and code reviews for other engineers, providing feedback on architecture, integration, scalability, and performance. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and build fault-tolerant systems that minimize operational load. - Participate in root cause analysis and long-term improvements so we don't get paged for the same issue twice. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 10+ years of practical work applying ML to solve complex problems experience - Experience with any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing - Experience with security and systems that handle sensitive data Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs and security researchers to codify security analytics into the service. These researchers apply advanced statistics, machine learning, and deep learning algorithms to build new detections across a range of domains - including cloud security, network security, and the emerging field of AI security - and you will help turn that research into production systems at AWS scale. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Own the full software development lifecycle, including scoping, planning, conception, design, implementation, testing, documentation, delivery, and maintenance. - Conduct design and code reviews for other engineers, providing feedback on architecture, integration, scalability, and performance. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and build fault-tolerant systems that minimize operational load. - Participate in root cause analysis and long-term improvements so we don't get paged for the same issue twice. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 10+ years of practical work applying ML to solve complex problems experience - Experience with any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing - Experience with security and systems that handle sensitive data Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually

Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources to help protect workloads and data across AWS accounts. Amazon GuardDuty is seeking talented Software Development Engineers to join a team in our Los Angeles office!. In this role, you will design, build, and operate highly available, scalable distributed systems that power GuardDuty's Malware protection and Runtime Monitoring products. You will work on challenging problems at the intersection of cloud security, distributed systems, and customer experience - building platforms that serve both internal teams and millions of external AWS customers. You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and operations. You will collaborate closely with security engineers, applied scientists, and product managers to deliver features that protect millions of AWS customers. This is a high-impact role where your work directly contributes to the security posture of AWS customers worldwide. Key job responsibilities - Design, develop, and maintain highly available, scalable distributed systems for GuardDuty's Malware Protection and Runtime Monitoring services - Build and operate metadata services that enrich data for internal GuardDuty teams - Own and evolve the runtime agent provisioning and agent coverage platform across AWS compute services - Own features end-to-end across the full software development lifecycle - from design through deployment and operations - Effectively leverage AI-assisted development tooling to accelerate design, coding, testing, code review, and operational workflows while maintaining a high quality bar - Write high-quality, testable code and participate in design and code reviews, using AI tooling to improve velocity and consistency without compromising correctness or security - Troubleshoot and resolve complex production issues, driving root cause analysis and operational excellence - including using AI tooling to accelerate log analysis, hypothesis generation, and runbook execution - Collaborate with security engineers, applied scientists, and product managers to define technical solutions - Mentor junior engineers on engineering best practices, including responsible and effective use of AI tooling, and contribute to team-wide standards - Contribute to operational excellence through on-call rotations, runbook development, and system monitoring A day in the life As an SDE II on this team, you spend your time designing, building, and operating distributed systems that protect AWS customers from runtime threats at massive scale. On any given day, you might be drafting a design document for a new feature, diving deep into code, reviewing a teammate's pull request, or debugging a production issue - using AI tooling along the way to move faster without cutting corners on quality. You collaborate with security engineers, applied scientists, and product managers to understand their needs and build the right solutions. You participate in operational reviews, contribute to sprint planning, and mentor teammates as part of how the team operates. The work is varied, fast-paced, and high-impact - every line of code you ship helps protect AWS customers. About the team Our team owns two of GuardDuty's core threat detection products: Malware Protection, which scans EC2 workloads, S3 objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that target their compute and data. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Monica - 143 400.00 USD annually

Job Description Job Description SRCTec, LLC is currently seeking a highly seasoned and product development-oriented principal test engineer to join the Advanced Manufacturing team. Individuals who are passionate about ensuring products are developed and transitioned to manufacturing with a high degree of producibility are best suited for this role. What You'll Do Apply advanced knowledge of engineering principles and concepts to the broad categories of product design, manufacturing & manufacturing test development, and validation/qualification Collaborate with product teams early in the development cycle to understand design intent and direction, and to ensure high levels of DFX are achieved, with an emphasis on DFT Partner with R&D engineers to drive rigor in deriving appropriate and thorough manufacturing & manufacturing test requirements, and to ensure that production systems are aligned with the capability of the product Direct the development of test capabilities and systems based on an existing, common SRCTec platform while developing customized features and interfaces Provide direct support to factory and sustaining personnel during new product transitions to volume manufacturing Participate in multiple product manufacturing development efforts simultaneously and partner with various functional resources as required Identify and enable optimization of the established test environment through continuous improvement initiatives and adoption of new technologies Support and/or lead test-related, Advanced Manufacturing initiatives with a wide business impact Coach and mentor junior test engineers and less experienced staff in effective manufacturing and manufacturing test design practices and concepts What You'll Bring Bachelor's degree with 12+ years of related experience or Master's degree in Electrical Engineering with 10+ years of related experience Strong interpersonal and communication skills with a collaborative, professional demeanor while interfacing with all levels of the enterprise Flexibility and stability in a constantly changing technical environment Methodical and analytical problem-solving skills to challenging manufacturing and manufacturing test issues Skills in project management to ensure timely and complete execution of production development efforts A data-driven, decision-making mindset Ways to Stand Out - Preferred Requirements Demonstrated ability to translate fully or partially defined system requirements into robust manufacturing and manufacturing test solutions, in some cases where no precedent exists Adept at collaborating with product development teams and promoting DFX principles to new product design efforts Experience with printed circuit card assembly (PCA) through system level functional test development (and everything in between) Hands-on experience working with sensitive RF measurements and high-speed digital systems Competency in LabVIEW, TestStand and Python development environments Conversant in several collaboration tools such as JIRA, Confluence, Bitbucket, SharePoint, etc. Exposure to Model-Based Systems Engineering (MBSE) approaches to product development What Sets Us Apart? SRCTec, LLC is a manufacturing and life cycle management company specializing in the cost-effective production of high-quality, high-reliability, advanced military electro-mechanical products. SRCTec is a wholly owned subsidiary of SRC, Inc. SRC is a not-for-profit research and development company that combines information, science, technology and ingenuity to solve "impossible" problems in the areas of defense, environment and intelligence. Across our family of companies, we apply bright minds, fresh thinking and relentless determination to deliver innovative products and services that are redefining possible . When you join our team, you'll be a part of something truly meaningful - helping to keep America and its allies safe and strong. You'll collaborate with more than 1,400 engineers, scientists and professionals - with 20 percent of those employees having served in the military - in a highly innovative, inclusive and equitable work environment. You'll receive a competitive salary and comprehensive benefits package that includes four or more weeks of paid time off to start, 10 percent employer contribution toward retirement, and 100 percent tuition support. Total compensation for this role is market competitive. The anticipated salary range for this position based out of Syracuse, NY is estimated at $136,000 to $165,000 annually. The actual salary will vary based on applicant's experience, skills, and abilities, geographic location as well as other business and organizational needs. SRC offers competitive benefit options. For more details please visit our website.

CryptoAnalyzer, a leader in cryptocurrency analytics and blockchain solutions, seeks a Seasonal PRN CST to support our finance and insurance analytics teams during peak project periods. In this role, you'll assist analysts with data collection, cleansing, and validation, monitor blockchain transaction flows, and help prepare reports for internal stakeholders and clients. You will follow established quality and compliance protocols, document findings clearly, and collaborate closely with engineers and data scientists in a fast-paced, innovative culture focused on continuous learning and digital finance innovation. Responsibilities Support cryptocurrency and blockchain analytics projects during seasonal peaks Collect, clean, and validate financial and transaction data Monitor blockchain transaction flows and flag anomalies Assist in preparing internal and client-facing reports and dashboards Follow established quality, security, and compliance procedures Document methods, assumptions, and findings clearly Collaborate with analysts, data scientists, and engineers on project tasks Use analytics tools to run queries and generate insights Maintain organized data repositories and project documentation Contribute to process improvements and knowledge sharing Required Skills Cryptocurrency and blockchain fundamentals Financial data analysis SQL or similar query languages Data cleansing and validation Dashboarding tools (e.g., Tableau, Power BI, Looker) Excel or Google Sheets (advanced) Data documentation and reporting Compliance and data security awareness Basic scripting (Python or R) Collaboration in cross-functional tech teams

Job Description Job Description Overview: We are seeking a Lead Systems Specialist to support the Pilot Bioproduction Facility (PBF) at the Walter Reed Army Institute of Research (WRAIR) in Silver Spring, Maryland. PBF is a one-of-a-kind cGMP-compliant pharmaceutical manufacturing facility engaging in next-generation development for cutting-edge companies and government agencies. The professionals at PBF are engaging in trailblazing endeavors every day. Most exciting, the end products vary, so every year brings multiple opportunities for professional enrichment in original projects. CAMRIS International, LLC, is a dynamic medical research and development firm that achieves innovative solutions to health and development challenges through high-quality, cost-effective programs and research management services. We combine our proven systems with today's most effective, evidence-based best practices. Our core practice areas include vaccine research, development, and production; microbiology and infectious disease research; biodefense; clinical research; global health security; and HIV/AIDS programs. Our employees enjoy a collegial environment where individual contributions matter at all levels. At CAMRIS, you will notably improve the lives of people at home and abroad. Responsibilities: Lead data integrity tasks including set up of testing workflows, configuring user access controls, integrating peripherals, setting automated schedules, managing alarms and general software administration tasks. Support cross-Functional teams acting as the main bridge between bench scientists, quality assurance (QA), and IT infrastructure teams. Collaborate with process engineers, scientists, operators, maintenance personnel, and vendors to identify opportunities for automation improvements and operational efficiencies. Communicate effectively, efficiently, and persistently with internal and external stakeholders including WRAIR Information Management Division, the PBF director and CAMRIS staff) Configure, maintain, troubleshoot, and optimize automation and control systems, including PLCs, machine to machine interfaces, and process data backups. Lead automation system design, implementation, commissioning, qualification, operation, and lifecycle management activities. Compliance & Validation: Ensuring data integrity, maintaining audit trails, and supporting GxP or regulatory standards (such as ISO/EPA guidelines). Assist WRAIR Information Management Division (IMD) and PBF end users with troubleshooting and upgrading applications supporting resolution of technical snags, data migrations, writing custom scripts or reports (e.g., LabVantage, Crystal Reports OSIsoft Pi), and managing data integrity through system upgrades. Coordinate with lab personnel to map out testing processes, perform market research, develop user requirement specifications (URS), and review associated software design specifications or functional specifications, as necessary. Develop and maintain system documentation including user requirements specifications (URS), functional specifications, control narratives, configuration details, password management, and backup protocols. Participate in commissioning, startup, and qualification activities including factory acceptance testing (FAT), site acceptance testing (SAT), installation qualification (IQ), operational qualification (OQ), and performance qualification (PQ). Establish software training for end users coordinating with operations, quality and quality assurance teams including authoring SOPs, creating training resources, and leading classroom training sessions at PBF. Lead the setup, configuration, and daily support of LabVantage modules at PBF. Ensure systems meet regulatory standards like GxP, 21 CFR Part 11, and data integrity (ALCOA+) principles. Support GMP manufacturing activities through adherence to quality systems, change management processes, deviation investigations, and corrective and preventive actions (CAPA). Design, implement and document the connections between the LIMS and lab equipment, chromatography data systems, and/or middleware. Compliance & Validation: Ensure systems meet regulatory standards like GxP, 21 CFR Part 11, and data integrity (ALCOA+) principles. Support engineering facilities, calibrations oversight, and shutdown execution at PBF as required. All other duties as required by the supervisor, manager, or program leadership. Qualifications: A Bachelor's degree in Engineering, Computer Science, Information Systems, Chemistry, Biology, or a related scientific/technical field. Understanding of GMP manufacturing practices and regulated computerized systems including data integrity and Good Automated Manufacturing Practice (GAMP) and ICH Q9 (Quality Risk Management). 5+ years working within R&D, MSAT or GMP environments supporting enterprise software or laboratory informatics, with firsthand LIMS administration and/or process automation experience. Experience with PLCs, DCS, SCADA, HMI systems, instrumentation, and industrial communication frameworks such as OPC-UA. Strong background in SQL, data analysis, and understanding of lab and clean core (manufacturing) workflows. Demonstrated oral and written communication with the ability to translate complex lab procedures into logical software requirements using flow-charts, presentations, and good engineering documentation. Experience managing subcontracted integration resources. Preferred Qualifications Familiarity with SQL databases, OSIsoft, and slocal application data stores associated with research, quality control, and manufacturing equipment. Data processing skills using R, python, Microsoft Excel, JMP and OSIsoft PI for quality control charting and multifactorial analysis. AKTA Unicorn method programing and configuration experience. Physical Requirements, Workplace Hazards and Conditions, and PPE and Chemical Requirements The physical requirements, workplace hazards and conditions, and PPE and chemical requirements described here are representative of those that a candidate must meet to perform the essential functions of this job. Reasonable accommodation may be provided to enable individuals with disabilities to perform essential job functions. Physical Demands Occasionally conduct sedentary work that primarily involves sitting/standing. Occasionally conduct light work that includes moving objects up to 20 pounds. Rarely conduct medium work that includes moving objects up to 50 pounds. Rarely conduct heavy work that includes moving objects up to 100 pounds. Rarely conduct very heavy work that includes moving objects over 100 pounds. Occasionally push or pull less than 25 pounds. Rarely push or pull 25 - 45 pounds. Rarely push or pull more than 45 pounds. Rarely reach above shoulder level. Constantly use both hands. Occasionally stand or walk for more than 25 minutes. Occasionally bend, reach, or twist repeatedly. Occasionally kneel, squat, or stoop. Rarely crawl or climb. Occasionally have clear vision (near and/or far), depth perception, peripheral vision, and/or visual acuity. Physical Activities Rarely ascend or descend ladders, stairs, scaffolding, ramps, poles, and the like. Rarely move self in different positions to accomplish tasks in various environments, including tight and confined spaces. Occasionally move about to accomplish tasks or move from one worksite to another. Constantly communicate with others to exchange information. Constantly assess the accuracy, neatness, and thoroughness of the work assigned. Environmental Conditions Occasionally work in low temperatures. Occasionally work in high temperatures. Rarely work in outdoor elements, such as precipitation and wind. Occasionally work in noisy environments. Rarely work in small and/or enclosed spaces. PPE and Chemical Requirements Occasionally wear PPE, including but not limited to gloves, face shields/goggles, safety glasses, and safety shoes. Occasionally wear a lab coat. Rarely wear earplugs/muffs. Occasionally work in a Clean Room Uniform. Occasionally wear a disposable dust/surgical mask. Rarely wear a respirator, such as a disposable respirator mask (N-95), half-face/full-face style, PAPR, SCUBA. Other: Sitting/standing should be managed. Extended screen time is expected. Please submit your resume online at . CAMRIS is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability status, or any other characteristic protected by any applicable federal, state, or local law. CAMRIS offers a comprehensive benefits package, including medical, dental, and vision insurance for individuals and families, FSAs, HSA, life and AD&D insurance, short- and long-term disability, legal services, voluntary hospital indemnity, critical illness and accident insurances, EAP, pet insurance, 401(k) with employer match and Roth option, tuition and professional reimbursement, public transportation support in the DMV area, a referral bonus program, vacation with tenure-based increases, PTO, 11 paid holidays . click apply for full job details

Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources to help protect workloads and data across AWS accounts. Amazon GuardDuty is seeking talented Software Development Engineers to join a team in our Los Angeles office!. In this role, you will design, build, and operate highly available, scalable distributed systems that power GuardDuty's Malware protection and Runtime Monitoring products. You will work on challenging problems at the intersection of cloud security, distributed systems, and customer experience - building platforms that serve both internal teams and millions of external AWS customers. You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and operations. You will collaborate closely with security engineers, applied scientists, and product managers to deliver features that protect millions of AWS customers. This is a high-impact role where your work directly contributes to the security posture of AWS customers worldwide. Key job responsibilities - Design, develop, and maintain highly available, scalable distributed systems for GuardDuty's Malware Protection and Runtime Monitoring services - Build and operate metadata services that enrich data for internal GuardDuty teams - Own and evolve the runtime agent provisioning and agent coverage platform across AWS compute services - Own features end-to-end across the full software development lifecycle - from design through deployment and operations - Effectively leverage AI-assisted development tooling to accelerate design, coding, testing, code review, and operational workflows while maintaining a high quality bar - Write high-quality, testable code and participate in design and code reviews, using AI tooling to improve velocity and consistency without compromising correctness or security - Troubleshoot and resolve complex production issues, driving root cause analysis and operational excellence - including using AI tooling to accelerate log analysis, hypothesis generation, and runbook execution - Collaborate with security engineers, applied scientists, and product managers to define technical solutions - Mentor junior engineers on engineering best practices, including responsible and effective use of AI tooling, and contribute to team-wide standards - Contribute to operational excellence through on-call rotations, runbook development, and system monitoring A day in the life As an SDE II on this team, you spend your time designing, building, and operating distributed systems that protect AWS customers from runtime threats at massive scale. On any given day, you might be drafting a design document for a new feature, diving deep into code, reviewing a teammate's pull request, or debugging a production issue - using AI tooling along the way to move faster without cutting corners on quality. You collaborate with security engineers, applied scientists, and product managers to understand their needs and build the right solutions. You participate in operational reviews, contribute to sprint planning, and mentor teammates as part of how the team operates. The work is varied, fast-paced, and high-impact - every line of code you ship helps protect AWS customers. About the team Our team owns two of GuardDuty's core threat detection products: Malware Protection, which scans EC2 workloads, S3 objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that target their compute and data. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, Santa Monica - 143 400.00 USD annually

Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs and security researchers to codify security analytics into the service. These researchers apply advanced statistics, machine learning, and deep learning algorithms to build new detections across a range of domains - including cloud security, network security, and the emerging field of AI security - and you will help turn that research into production systems at AWS scale. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Own the full software development lifecycle, including scoping, planning, conception, design, implementation, testing, documentation, delivery, and maintenance. - Conduct design and code reviews for other engineers, providing feedback on architecture, integration, scalability, and performance. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and build fault-tolerant systems that minimize operational load. - Participate in root cause analysis and long-term improvements so we don't get paged for the same issue twice. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 10+ years of practical work applying ML to solve complex problems experience - Experience with any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing - Experience with security and systems that handle sensitive data Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 184 200.00 USD annually

Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. This is a leadership-leaning role with real engineering teeth: you'll mentor engineers, unblock execution, set technical direction, and quietly hold the line on quality across the platform. Responsibilities Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down complex work into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Strong customer-service orientation. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Familiarity with enterprise-scale software deployment architectures. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Experience with frontend UI development. Production-grade software development experience in Java and Python. Experience productizing software as containers with Docker/Kubernetes. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Job Description Technical Team Lead - Business Intelligence Platform Columbia, MD Full Time TS/SCI with Polygraph Required Position: Technical Team Lead (Software Engineer, Level 3) Location: Columbia, MD (on-site) Category: Software Engineering / Technical Leadership / Data Engineering Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of relevant experience in lieu of a degree Description Serve as the Technical Team Lead for the Mission Intelligence (MI) team, supporting data engineering, analytics, and automation initiatives. The MI team operates a business intelligence platform that enables enterprise-wide, data-driven decision-making. Your primary responsibility is to ensure the reliability, availability, and quality of this high-impact platform. You'll also contribute to the MI team as a systems engineer, software engineer, and analytic developer - designing, developing, and integrating solutions that involve the analysis of large data sets to establish operational visibility and deliver actionable insights. Responsibilities Develop analytics to combine, normalize, and enrich large data sets. Design and implement ETL workflows to convert and normalize data. Augment the platform with new tools or technologies. Gather stakeholder requirements, assess available data, and develop solutions for delivering key metrics. Break down tasks into actionable steps that demonstrate consistent progress. Remove technical obstacles, manage expectations, and support team execution. Define and communicate task scope through clear documentation and tracking systems. Enable the team to integrate Site Reliability Engineering practices into the operational platform. Mentor and guide junior software engineers and data scientists. Produce project management materials such as agendas, meeting notes, and design decision records. Skills Requirements Experience supporting enterprise-scale platforms. Strong Java development skills. Familiarity with authentication and authorization platforms and standards. Experience with service containerization and deployment with Docker/Kubernetes. Familiarity with Git for software version control. Experience with Atlassian Tools (Jira, Confluence). Customer-service mindset. Experience leading technical teams. Effective interpersonal skills for collaborating across diverse backgrounds and skill sets. Experience or exposure to Site Reliability Engineering (SRE) principles. Willingness to contribute to internal and customer-facing documentation. Nice to Haves Experience with Apache NiFi. Experience with Elasticsearch and Kibana. Familiarity with Kubernetes. Knowledge of map-reduce analytic environments (e.g., Hadoop). Python experience. Prior experience in cyber operations or capability development. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck. The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain. We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products. Through our deep collaboration with PDST scientists we are boldly reimagining how Abbvie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI. Principal Data Engineer is a highly technical, AI-native role responsible for designing, building, and operating production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem. This role is embedded inside PDST and works at the frontier of pharmaceutical data engineering. You will integrate and harmonize data from the full spectrum of manufacturing and development systems - including MES, historians, LIMS, QMS, ERP, and instrument platforms - and transform it into reliable, governed, semantically rich data assets that data scientists, process engineers, and AI systems can actually use. Enterprise-scale scope: Enterprise-scale biologics portfolio spanning clinical, commercial, and lifecycle stages Building AI playbook for the future: First-in-AbbVie and first-in-biologics analytical approaches; you build the AI playbook for the future Growth and Impact: Direct impact on regulatory submissions, commercial readiness, and manufacturing decisions through deep cross-functional exposure to manufacturing, quality, regulatory, and scientific leadership Mission: Every model you build helps ensure safe, reliable medicines reach patients at scale Responsibilities Data Ingestion & Integration Design and implement scalable, robust data ingestion pipelines that connect CMC and manufacturing source systems - including MES (Manufacturing Execution Systems), process historians, LIMS, QMS, ERP platforms, and instrument data sources - to centralized and federated data environments. Build connectors, adapters, and integration layers that handle the heterogeneous data formats, protocols, and latency profiles characteristic of pharmaceutical manufacturing environments. Support both batch and real-time/streaming data patterns, selecting appropriate architectures based on use case requirements. Data Harmonization & Semantic Modeling Develop and maintain harmonized data models and ontologies that bring consistency to CMC and manufacturing data across sites, systems, and modalities. Execute semantic mapping efforts that align source system fields, units, and identifiers to enterprise data standards and scientific meaning. Collaborate with process scientists, analytical chemists, and manufacturing engineers to ensure data models accurately reflect domain reality. Data Quality, Observability & Governance Implement automated data quality controls, validation frameworks, and anomaly detection mechanisms across pipeline layers. Build and maintain data lineage documentation and metadata infrastructure, enabling full traceability from source system to AI model input. Establish pipeline observability practices - monitoring, alerting, SLA tracking - to ensure data product reliability in production. Support data governance practices aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards. AI/ML Enablement & Data Product Development Architect and deliver governed, versioned, reusable data products purpose-built for AI/ML consumption, including feature stores, curated datasets, and vector-ready data layers for RAG and LLM applications. Partner closely with data scientists, ML engineers, and process modelers to understand model data requirements and translate them into reliable, scalable data infrastructure. Accelerate AI program delivery by eliminating data bottlenecks - not by workarounds, but by solving root causes structurally. Platform & Operational Enablement Contribute to the design and evolution of PDST's cloud-based data platform, including lakehouse architecture, data cataloging, access control, and compute infrastructure. Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems. Support platform onboarding of new CMC data domains and manufacturing sites, ensuring consistent application of standards and patterns. Provide operational support for production data pipelines, maintaining uptime and data freshness commitments. Stakeholder Engagement & Scientific Leadership Influence technical decision-making without formal authority - earning trust through scientific rigor, transparent methodology, and demonstrated business impact. Qualifications Required: Bachelor's Degree Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a closely related technical field plus 6 years' experience; Master's Degree plus 5 years' experience; PhD plus 0 years' experience. Respective years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Expert-level proficiency in Python for data engineering tasks - pipeline development, transformation logic, data validation, and automation. Strong SQL skills across modern analytical and transactional databases; comfort with both ANSI SQL and platform-specific dialects. Demonstrated experience with cloud data platforms (AWS, Azure, or GCP) and modern data stack components - including tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents. Develop ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, and cloud-native services (e.g., AWS Glue, Azure Data Factory). Implement master data management (MDM), metadata management, and data cataloging solutions to ensure proper data lineage, accessibility, and compliance. Set and enforce standards for API development and data integration (REST, GraphQL, OData), enabling seamless integration using microservices architectures. Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes - not just outputs. Solution-architect instinct: you think before you build, consider the full landscape of available approaches, and choose tools based on fit-for-purpose reasoning rather than familiarity or trend. Scientific integrity: you build models you can explain, defend, and improve - and you apply the same standard to the work of others. Influence through credibility: you earn the confidence of scientists, engineers, and quality professionals by being right, being clear, and being useful - not by title or volume. Bias for impact: you are drawn to problems where the stakes are high and the analytical opportunity is real, and you are energized rather than intimidated by ambiguity. Preferred: 3+ years of hands-on experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments. Familiarity with technology transfer workflows, process characterization study design, or commercial process validation (PPQ/PV) in a biologics or pharmaceutical context. Experience in pharmaceutical, biotech, or other regulated life sciences manufacturing environments. Familiarity with GxP data principles, 21 CFR Part 11 compliance, or data integrity requirements in regulated industries. Prior exposure to manufacturing source systems such as MES, process historians (e.g., OSIsoft PI/AVEVA), LIMS, QMS, or ERP platforms Experience building data infrastructure for AI/ML programs - including feature engineering pipelines, model training datasets, or vector/embedding data layers for RAG architectures. Knowledge of biologics manufacturing processes (e.g., upstream cell culture, downstream purification, fill-finish) or CMC development workflows. Familiarity with data mesh, data fabric, or federated data architecture patterns. Experience with graph databases, knowledge graphs, or ontology frameworks applied to scientific or manufacturing data. Contributions to open-source data tooling or demonstrated engagement with the modern data engineering community. Design logical, physical, and conceptual data models using modeling tools (e.g., Erwin, PowerDesigner, dbt). . click apply for full job details

Job Description Job Description THAAD System Operator OverviewSimTech, Inc., recognized as one of the 2026 Best Places for Working Parents, is seeking a THAAD System Operator to join our dynamic and diverse corporate team in Huntsville, AL. SimTech offers a market leading compensation package with excellent benefits, work/life balance, outstanding retirement plan, career advancement and much more. The THAAD System Operator will support test events by collaborating with team members, operating assigned systems and simulation workstations, and applying component-specific setup and testing procedures. Responsibilities Collaboration within a team environment while emphasizing individual contributions to effectively complete a test event, which can span from a few weeks to several months. Ability to operate one of many workstations, on an as needed basis, to include, but not limited to: THAAD Fire Control and Communications (TFCC), THAAD Radar (AN/TPY-2 TM), Simulation-Over-Live-Driver (SOLD), Common Data Link Interface-Module (CDLI-M) and the Network Systems Integration and Test Environment (NSITE) workstation. Will be required to learn individual component specifics as required to conduct tests, such as component initialization parameters and specific test operating procedures. Perform data collection and post-test processing of data. Off-hours and travel may be required. Other responsibilities as assigned. Minimum Qualifications & Education RequirementsBachelor 's degree from an accredited university, with 3 years of relevant experience; or may substitute with High school diploma and 6 years of relevant work experience. Excellent troubleshooting, analytical, and problem-solving skills. Good verbal and written communications skills. Some Unix/Linux experience and knowledge of Missile Defense Systems is a plus. U.S. Citizenship with an Active Secret security clearance or ability to obtain/maintain security clearance required. Physical DescriptionEmployees in these positions will function in a general office/cubicle setting environment, and laboratory/testing setting using standard office equipment and various electronic testing equipment, including a computer, telephone, printers, video equipment, computer software and testing equipment. Will interact in a general office setting environment with various personnel; participate in meetings and contribute to team success; deliver timely results and produce reports; receive and communicate information; may include telework. May function in a specialized laboratory/testing environment using electronic testing equipment, computer software and complex systems. May move and test equipment of various weights. Laboratory environment may require use of protective equipment (PPE) including but not limited to safety glasses and protective hearing and footwear. May be expected to work varying shifts and hours to ensure successful operation of activities in the organization due to business demands; travel occasionally for assigned work. About SimTech, Inc.SimTech's mission is to be the most reliable and cost-effective provider of Signature Models, Simulations, Hardware, Software, Cyber solutions, and Test & Evaluation services. Established in 1983 by a team of experienced scientists and engineers, SimTech has a long history of delivering high-technology defense-oriented solutions. The company has been recognized as a "Best Place to Work" in 2020 and 2021, and as a "Best Place for Working Parents" in by the Huntsville/Madison County Chamber of Commerce. SimTech offers an industry-leading comprehensive compensation and benefits package. Be a part of over 43+ years of excellence-join our team today! To learn more about our exceptional team and employee benefits, contact SimTech HR or visit for more information. Equal Employment Opportunity and Affirmative Action EmployerSimTech, Inc. is an Equal Opportunity/Affirmative Action Employer. SimTech, Inc. is a committed EOE/Vet/Disabled employer. Simulation Technologies, Inc. (SimTech) is an Equal Employment Opportunity employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its job application procedures. If you have any difficulty using our online system and you need an accommodation due to a disability, you may use the following email address, and/or phone number ) to contact us about your interest in employment with SimTech. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, citizenship, ancestry, marital status, protected veteran status, disability status or any other status protected by federal, state, or local law. SimTech participates in E-Verify. Job Posted by ApplicantPro

Job Description Job Description R&D Engineer Location: Huntington Beach, CA Compensation: $90,000 - $105,000 annually (depending on experience) About the Role SprintRay is redefining digital dentistry by offering the industry's only complete 3D printing solution, seamlessly integrating cutting-edge technology, advanced materials, clinical education, and dedicated customer support throughout the customer journey. As an R&D Engineer, Materials, you will play a hands-on role in developing, testing, and scaling advanced photopolymer resins that power SprintRay's 3D printing ecosystem. Working closely with scientists, engineers, and manufacturing teams, you'll help bring next-generation dental materials from concept to production through laboratory experimentation, data-driven problem solving, and cross-functional collaboration. This is a fully on-site role ideal for someone with a passion for materials science, innovation, and delivering high-quality solutions for digital dentistry. Key Responsibilities Conduct research to develop new 3D printing resins and photopolymerization formulations for digital dentistry. Manufacture, characterize, and test polymer resins to define requirements for next-generation dental products. Scale up R&D formulations and provide continuous support to resin production and manufacturability improvements. Optimize resin settings and establish materials standards to meet quality, usability, and print consistency requirements. Prepares R&D documentation and reports by collecting, analyzing, and summarizing information. Maintain the cleanliness and organization in workshop area. Follow safety rules and procedures constantly. Collect data and perform statistical analysis on user experience to drive product features and reliability improvements. Monitor top product failure modes and provide manufacturing knowledge to QA to reduce production costs. Maintain a functional Mechanical workshop and maintain inventory level of the R&D department. Required Qualifications Bachelor's degree in Materials Science, Chemical Engineering, Manufacturing Engineering, or a related discipline (or equivalent practical experience). 3+ years of experience developing, manufacturing, characterizing, and testing polymer or photopolymer resin systems. Strong understanding of photopolymerization chemistry, resin formulations, and additive technologies. Hands-on experience with materials characterization, laboratory testing, and experimental design. Proficiency in collecting, analyzing, and interpreting experimental data to support technical decisions. Knowledge of polymer and materials science principles, including structure-property relationships. Familiarity with dental materials, additive manufacturing, or medical device products is preferred. Experience supporting process development, optimization, and continuous improvement initiatives. Strong analytical and problem-solving skills with a methodical, data-driven approach. Excellent organizational and time management skills, with the ability to manage multiple priorities. Exceptional attention to detail and commitment to producing high-quality, accurate work. Strong written and verbal communication skills, with the ability to document findings and collaborate effectively across cross-functional teams. Demonstrated ability to work both independently and collaboratively in a fast-paced R&D environment. Employment Type Full-time About SprintRay SprintRay is rewriting the rules of dentistry with technology that's smart, fast, and designed to make life easier for dental professionals. Since 2014, we've been on a mission to deliver the most advanced 3D printing solutions in the industry-combining hardware, software, and materials into one seamless ecosystem. But what really makes SprintRay different is our people. We're a bold, global team of innovators, problem-solvers, and doers who thrive on pushing boundaries and challenging the status quo. Every product we create is driven by a simple goal: help dentists spend less time on repetitive tasks and more time changing patients' lives. Our culture is entrepreneurial, collaborative, and fueled by curiosity. We celebrate diverse perspectives and believe the best ideas can come from anywhere. Whether we're building next-generation AI tools, designing new materials, or supporting our customers on the front lines, we're united by the same passion-transforming digital dentistry and having fun while we do it. At SprintRay, the future of dentistry is being printed today. Want to be part of it? Equal Opportunity Employer SprintRay is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. To All Recruitment Agencies: Without a written agreement signed by an officer of SprintRay: a) SprintRay does not accept resumes from recruiting agencies, headhunters, or any other party expecting payment in the event SprintRay speaks with or hires a candidate from such submitted resume; b) SprintRay is not responsible for any fees related to unsolicited resumes or related Terms of Service, and c) Unsolicited resumes received will be considered the property of SprintRay and will be processed accordingly. Accessibility If you need a reasonable accommodation during the application or interview process, please contact us at .

Job Description Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis : understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows. • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions. • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology. • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions. • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications. • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation. • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting. • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows. • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools. • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling. • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools. • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility. • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems. • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria. • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates. • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate. • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure. • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required. • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role. • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring. • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements. • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems. • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users. • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure. • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices. • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies. • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies. • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores. • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred. • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories. • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems. • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams. • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems. • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems. • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar. • Experience with visualization or dashboarding tools for model quality analysis. • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing. • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company's good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits • Bonus • 401K plan • Generous paid time off, sick leave, and holidays • Paid parental leave • Employee assistance program • Life insurance and disability insurance

Job Description Job Description 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: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + 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 Employees 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 517322 Reference Date: 09/05/2026 Job Code Function: Data Science

Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are looking for Quantum Engineers to work on all aspects of neutral atom quantum computing. As a Quantum Engineer at Atom Computing, you will join a team of talented scientists and engineers who are working to translate fundamental atomic physics to a scalable, fault-tolerant quantum computer. We welcome applicants from a diverse set of backgrounds, but are specifically interested in candidates with experience in the following fields: Trapping and manipulation of cold atoms; Coherent control of quantum systems (for example: neutral atoms, trapped ions, NV- centers, nuclear magnetic resonance, superconducting qubits); Quantum characterization, verification, and validation (QCVV) techniques. Responsibilities Design and construct the scientific hardware and control interfaces (both hardware and software) that are the essential backbone of the quantum computing platform. Generate intellectual property related to the design and operation of neutral-atom-based quantum computers. Distill and communicate findings internally, and as appropriate, in external publications and presentations. Capable of lifting and moving objects that weigh up to 25 pounds. Experience & Education PhD in Physics, Chemistry, Engineering, or a related field. 4+ years work industry experience designing and operating quantum computing hardware, including an explicit technical leadership role. Required Qualifications Extensive knowledge of the state-of-the-art techniques used in atomic physics and quantum computing research Deep understanding of the fundamental interactions between light and matter. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Proven track record of successfully leading high impact technical projects Preferred Qualifications Familiarity with Python and Git software version control Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, we offer unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The salary range for this position is between $200,000 - $230,000, commensurate with experience. In addition to salary, we offer an annual bonus, sign-on bonus and incentive stock options for equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description HRL Laboratories, an IBM company, pioneers the next frontiers of physical and information science. Delivering transformative technologies in automotive, aerospace and defense, HRL advances the critical missions of its customers to help them remove limitations and create competitive advantage. HRL then transitions the work back to customers - ready for real-world application. For more than 70 years, HRL's rich portfolio of scientific discoveries and engineering innovations continues to build on each other - often in unexpected, profound and far-reaching ways. As a private company owned by IBM, HRL prioritizes purpose over profit, significantly advancing the state of the art. HRL Laboratories advances critical structural and functional materials and semiconductor devices that enable precision navigation, quantum technologies and extreme-environment performance. With expertise from design through deployment, we deliver scalable, high-performance solutions that transform our customers' missions. Our work leverages digital manufacturing and scalable microfabrication techniques to meet tomorrow's toughest challenges. Position Summary: • Design, build, test, and analyze optical, optoelectronic, and photonic experiments for quantum communications systems and platforms • Collaborate with multidisciplinary R&D teams to advance quantum communications technologies Key Responsibilities: • Perform critical engineering and R&D under the supervision of staff scientists for next generation quantum photonic/electronic devices and deployable optical payloads • Design, model, setup, and test of free-space and/fiber optic experiments and design and fabrication of state-of-the-art semiconductor devices • Improve processes, perform measurements, collect, summarize, and analyze data, present and discuss data with other scientists • Work with mechanical and electrical teams to troubleshoot complex systems Required Qualifications: • Bachelor's or master's in physics, Electrical Engineering, Optical Engineering, or related discipline • Some prior experience working with any of microfabrication, free-space/fiber optics, electronics, computer-controlled experiments obtain through coursework, independent study, or other internships • Strong desire to learn and be trained in scientific laboratory techniques and experimental procedures • Must be able to work well in a dynamic team environment and possess excellent communication skills • Working knowledge of free space optics, fiber optics, mechanical CAD software, and rf-test equipment (spectrum analyzers, power meters, oscilloscopes) Physical Requirements: • Must be able to work safely in an optical testing laboratory • Excellent verbal and written communication skills and organization skills are required • Must be proficient in use of computers, engineering workstations, and complex electronic equipment Special Requirements: • US Citizenship with the ability to obtain and maintain a US Government security clearance Compensation and Benefits: Pay Range : $81,800- 98,900 Our salary ranges are determined by role, level, and location (California). The range displayed on each job posting reflects the target range for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Benefits: HRL offers a generous and very competitive total compensation and benefits package. Our Regular/Full Time benefits include medical, dental, vision, life insurance, 401K match, gym facilities, PTO, Sick time, upward mobility, and an exciting and challenging work environment. For more information about our company benefit offerings please visit: Non-Discrimination and Equal Employment Opportunities (U.S.) Don't meet every single requirement? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At HRL, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing. If you would like more information about Equal Employment Opportunity as an applicant under the law, please go to Employees & Job Applicants u007C U.S. Equal Employment Opportunity Commission For our privacy policy please visit: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.