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About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description A Senior Data Engineer at Visa plays a pivotal role within a cross-disciplined agile team, contributing to the product backlog and delivering critical features to enhance data presentation for customers and engineering teams. This position involves driving improvements to processes and practices, providing technical leadership, and mentoring others. The role requires dedication to technical excellence in code writing, team collaboration, testing, and documentation. Senior Data Engineers work alongside intermediate and senior engineers, agile team members, and consultants, demonstrating strong communication skills and a willingness to collaborate across disciplines as needed. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solution fixes. Translate functional requirements into system designs and communicate component interactions. Design and develop product components, refine code plans for architecture, and lead design reviews. Participate in project estimation and review product estimations, considering delivery costs and escalating issues as needed. Lead by example and mentor others in creating extensible, maintainable, and reusable code. Apply debugging tools to address moderately complex issues and identify opportunities for automation. Lead code reviews to ensure coding standards and best practices are followed. Create complex test plans, identify tools, prioritize tests, and interpret test results to inform planning. Proactively identify and contain defects in software code to minimize customer impact and share findings with stakeholders across product features. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Expert-level experience with the Spark framework, Hive-based technologies, and broader Big Data development tools and platforms. 5+ years of hands-on programming experience in Java, Scala, or Python, with the ability to quickly develop clean, production-quality prototypes and core application components. Practical experience applying Generative AI and Large Language Models in data engineering, including leading initiatives that leverage GenAI to improve team productivity and operational efficiency. Strong working knowledge of SQL, NoSQL, graph databases, and RESTful APIs. Demonstrated success leading large-scale, end-to-end projects that deliver measurable business impact, from initial concept through production delivery. Strong understanding of algorithms, data structures, and core computer science fundamentals. Practical experience with data modeling for both relational and non-relational database systems. Experience collaborating with data scientists and machine learning teams, with the ability to discuss major machine learning paradigms, algorithms, and common software tools. Hands-on experience designing, building, and managing reliable data pipelines that move data across systems using tools such as Apache Airflow. Proficiency with version control systems such as Git, along with experience implementing CI/CD pipelines for automated testing, deployment, and release management. Demonstrated leadership behaviors, including a positive mindset, quick learning ability, collaboration, courage in leadership, and strong customer obsession. Experience in mentoring junior engineers and providing technical leadership. Experience in refining code plans for architecture and sharing learnings with the team. Experience in driving security assessment processes to ensure code quality. Experience in collaborating with cross-functional teams to deliver solutions. Ability to manage multiple, competing priorities effectively in a fast-paced, dynamic environment. Experience supporting data quality, data lineage, data governance, compliance, and security requirements within data engineering environments. Information for US Applicants For roles located in the US, the estimated salary range for this position is $180,600.00 to $ 289,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Requisition Number: 30351 Required Travel: 11 - 25% Employment Type: Full Time/Salaried/Exempt Anticipated Salary Range: $148,275.00 - $195,000.00 Security Clearance: TS/SCI Level of Experience: Senior HI This opportunity resides with All-Domain Operations (ADO) , a business group within HII's Mission Technologies division. All-Domain Operations comprises multi-domain operations, platforms and logistics, and intelligence operations. HII designs, develops, integrates and manages the sensors, systems and other assets necessary to support integrated ISR operations and accelerated decision-making. With data fusion and mission management capabilities for the Department of Defense, the combatant commands and the intelligence community, HII advances the mission around the globe. Leadership at HII - Mission Technologies HII's Leadership Capability Framework defines the standard of excellence expected of all leaders across Mission Technologies. Leaders are accountable for modeling these capabilities and building them within their teams: Know & Grow Your People - Develop talent, empower teams, and build an inclusive environment. Build Relationships - Strengthen trust, collaboration, and cross-functional partnerships. Take Ownership - Drive accountability, execution excellence, and results. Customer First - Anticipate mission needs and deliver value to our partners. Shape the Future - Inspire innovation and align work with strategic priorities. Act with Urgency - Make informed decisions and move with purpose. These capabilities define how leaders inspire teams, deliver results, and shape the future of Mission Technologies. Summary HII-Mission Technologies is seeking a highly proactive, take-charge Project Manager to lead the planning and implementation of a CONUS based PED (Processing, Exploitation, and Dissemination) Cell. The ideal candidate will have a strong technical foundation, the ability to coordinate multidisciplinary requirements, and the leadership skills necessary to guide teams through the design and deployment of PED capabilities at scale. What You Will Do Lead and manage end-to-end planning, coordination, and execution of the CONUS based PED Cell implementation, including facility/site identification, feasibility, and selection, buildout and construction of the physical space, network and data transport design and accreditation, data and network architecture across full data path from multi-INT ISR collection to dissemination of finished intelligence products to multiple stakeholders with varied access levels and interests. Drive cross functional collaboration to identify, design, and enable data flows and network architectures that support PED operations that can scale to meet an increase in (and diversity of) collection assets. Oversee physical infrastructure preparation, IT systems setup, equipment readiness, security protocol alignment, and network requirements necessary for operational PED support. Serve as the primary project manager, ensuring timelines, risks, deliverables, and dependencies are tracked and communicated effectively. Partner with government stakeholders, technical teams, and operational leads to align requirements and resolve challenges. Apply knowledge of secure facility standards; familiarity with SCIF buildout requirements and ICD 705 guidelines is a strong plus. Maintain clear documentation and manage communication channels to ensure successful coordination across all project participants. What We Are Looking For 8 years relevant progressive experience with Bachelors in related field; 6 years relevant progressive experience with Masters in related field; or High School Diploma or equivalent and 12 years relevant progressive experience. Clearance: Must possess and maintain an active TS/SCI clearance. Demonstrated experience leading complex technical or operational projects with multiple stakeholders. Foundational understanding of physical infrastructure, IT systems, equipment requirements, security protocols, and network support required for standing up high demand operational cell. Proven ability to take initiative, drive actions, and lead teams through ambiguity and evolving requirements. Excellent communication, organizational, and problem solving skills. Understanding of ISR (Intelligence, Surveillance, Reconnaissance) data, formats, and workflows. Familiarity with data exploitation tools and platforms used in PED environments. Knowledge of how data flows through networks, servers, and tools to support real time or near real time operations. Ability to identify and troubleshoot issues with data ingestion, processing, or dissemination. Knowledge of classified handling procedures and secure data workflows. Ability to follow strict protocol around systems access, data protection, and dissemination authorities. Preferred: Bonus Points For Experience supporting PED, intelligence operations, or analytical mission environments. Experience using mission systems or common PED software suites. Ability to process, analyze, and interpret sensor data (imagery, FMV, SIGINT, GEOINT, etc.). Familiarity with SCIF requirements, ICD 705 standards, or classified facility design. Experience designing or enabling data flows or network architectures for mission focused environments. Active Project Management Professional (PMP) certification. The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. Meet HII's Mission Technologies Division Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense - the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that's right for you. Apply today. We look forward to meeting you. To learn more about Mission Technologies, click here for a short video: HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k ; financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application. Why HII We build the world's most powerful, survivable naval ships and defense technology solutions that safeguard our seas, sky, land, space and cyber. Our workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals. Recognized as one of America's top large company employers, we are a values and ethics driven organization that puts people's safety and well-being first. Regardless of your role or where you serve, at HII, you'll find a supportive and welcoming environment, competitive benefits, and valuable educational and training programs for continual career growth at every stage of your career. Together we are working to ensure a future where everyone can be free and thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. Do You Need Assistance? If you need a reasonable accommodation for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case-by-case basis. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address. Additionally, you may also call 1- for assistance. Press for HII Mission Technologies.

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI, and AI-driven automated clinical and content workflows. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our systems operate over one of the world's largest medical and scholarly landscapes. About the role, as a Senior Machine Learning Engineer you'll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI). Maintain and version model registries and artifact stores to ensure reproducibility and governance. Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. Scale end-end custom Sagemaker pipelines. Design and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hosted. Design and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs . Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization. Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems. Collaboration Partner with Subject-Matter Experts, Product Managers, Data Scientists and Responsible AI experts to translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Qualifications Current experience in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala experience will be considered a plus. Hands-on experience with major cloud vendor solutions (AWS, Azure and/or Google) Experience with Search/vector/graph technologies (e.g., Elasticsearch / OpenSearch / Solr / Neo4j). Experience in evaluating LLM models. A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. Background in health technology and/or medical content workflows is preferred. Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark. Experience with large-scale data processing systems, e.g., Spark. Experience with statistical analysis, machine learning theory and natural language processing. Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world. Elsevier operates in various domains, including science, technology, medicine, social sciences, and more. They publish a vast number of peer-reviewed journals covering a wide range of disciplines. These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Matterport - Lead Machine Learning R&D Engineer Job Description CoStar Group is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed, and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. About Matterport: Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketing. About the Role: As a Lead Machine Learning R&D Engineer at Matterport, a part of CoStar Group, you will be at the forefront of innovating and advancing our spatial computing platform. You will play a critical role in researching, designing, and implementing cutting-edge machine learning algorithms and models that enhance our ability to digitize the built world, transform physical spaces into rich digital twins, extract valuable insights from them, and create delightful user experiences that make it easy for our customers to modify and interact with their digital twins. This role requires a deep understanding of ML principles, a passion for solving complex real-world problems in 3D data, computer vision, and a desire to contribute to a product that is revolutionizing how people interact with and understand real estate. You will work within a dynamic R&D environment, collaborating closely with fellow engineers, researchers, and product teams to translate groundbreaking ideas into tangible features that empower our users and expand the capabilities of our platform. This is a remote position. Responsibilities: Conduct cutting-edge research in machine learning, computer vision, and 3D data processing to develop novel algorithms and models for spatial understanding and digital twin creation. Design, implement, and optimize robust and scalable ML systems and pipelines for processing large-scale 3D datasets, including point clouds, meshes, and images. Translate research prototypes into production-ready solutions, collaborating closely with engineering teams to integrate ML models into Matterport's core platform. Evaluate and benchmark model performance, identify areas for improvement, and drive iterative enhancements to our ML capabilities. Stay up-to-date with the latest advancements in ML research and industry trends, and proactively identify opportunities to apply new techniques to Matterport's challenges. Collaborate with cross-functional teams including product managers, software engineers, and other researchers to define project requirements, explore technical feasibility, and deliver high-impact features. Present research findings and technical solutions to internal teams and potentially the broader ML community. Contribute to the architectural design and strategic roadmap of Matterport's ML systems and research initiatives. Contribute to the intellectual property of Matterport through patents and publications. Basic Qualifications: Bachelor's Degree required from an accredited, not for profit university or college. A track record of commitment to prior employers 3+ years of experience in machine learning research and development, with a strong focus on computer vision, 3D data processing, or related areas. Proficiency in Pytorch and strong programming skills in Python. Solid understanding of machine learning fundamentals, including deep learning architectures (e.g., CNNs, Transformers), optimization techniques, and evaluation methodologies. Experience with data manipulation and analysis libraries (e.g., NumPy, Pandas). Demonstrated ability to conduct independent research, propose novel solutions, and implement them effectively. Excellent problem-solving skills and the ability to work with complex, real-world datasets. Strong verbal and written communication skills. Preferred Qualifications & Skills: Ph.D. or Masters Degree in Computer Science, Computer Vision, Machine Learning, Robotics, or a related quantitative field. 5+ years of industry experience in applied machine learning research and development, particularly with shipping models to production. Demonstrated expertise in one or more of the following areas: neural rendering (e.g., Gaussian splatting, NeRFs, large reconstruction models, world models), 3D computer vision (e.g., SLAM, 3D reconstruction, point cloud processing, mesh processing), image/video generation models, 2D/3D semantic understanding, depth estimation. Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices. Strong track record of publications in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML, SIGGRAPH) or significant contributions to open-source projects. Experience mentoring junior engineers or leading technical projects. Excellent communication skills, both written and verbal, with the ability to articulate complex technical concepts to a diverse audience. Perks & Benefits: When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement. Our benefits package includes (but is not limited to): Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug Life, legal, and supplementary insurance Virtual and in person mental health counseling services for individuals and family Commuter and parking benefits 401(K) retirement plan with matching contributions Employee stock purchase plan Paid time off Tuition reimbursement On-site fitness center and/or reimbursed fitness center membership costs (location dependent) Access to CoStar Group's Employee Resource Groups Pay Transparency: This position offers an annual pay range from $270,000 - $307,000 determined by relevant skills and experience, and a generous benefits plan. CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

About Northbeam Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth. Machine learning has been at the heart of Northbeam since day one: our full suite of measurement, spanning multi-touch attribution, MMM+, and incrementality, is built on it, along with laser-accurate first-party data. Now we're taking that foundation further, using AI to help brands operationalize their data and turn Northbeam insights into automated decisions. We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey. We're a remote-friendly company with physical offices in San Francisco and Los Angeles. About the Role We're looking for a Technical Implementation Specialist to own the hands-on onboarding and technical setup of new customers. You'll work directly with customers to configure the product, integrate data sources, and get them to first value as quickly and smoothly as possible. This role is ideal for someone who enjoys being customer-facing and technical; part consultant, part builder, part project manager. Your Impact Customer Onboarding & Implementation Lead the end-to-end implementation for new customers, acting as the primary technical guide from kickoff through go-live Configure product settings, permissions, and workflows Subject matter expert for API integrations and data migration Troubleshoot setup issues and coordinate with Support or Engineering as needed Project Management Own onboarding timelines, milestones, and deliverables Manage customer expectations and keep implementations on track Communicate progress, risks, and next steps clearly Internal Collaboration Partner closely with Sales, Customer Success, Product, and Support Provide feedback on onboarding friction, product gaps, and common blockers Contribute to onboarding documentation and implementation playbooks What You Bring Bachelor's degree in computer science, information technology, or related field 2+ years of experience in SaaS implementation 2+ years in solutions engineering and technical onboarding Experience in customer-facing technical roles Comfortable with: APIs, integrations, frontend technologies, and data concepts Software troubleshooting and problem-solving Technical conversations with non-technical stakeholders Managing multiple high-impact projects concurrently Strong project management and communication skills Detail-oriented, organized, and calm under pressure Bonus Skills & Experience Bonus: experience with analytics, martech, data platforms, or attribution tools Base Salary Range $140,000-$165,000 USD Actual compensation may vary based on experience, skills, and location. In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup. Interview Process The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time. We accept applications on an ongoing basis.

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you're blocked. We're here to give power to the patient. For nearly 20 years, we've built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we're going further: building our infrastructure beyond Zocdoc's marketplace topower access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don't want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Zocdoc's most important asset is our people. As Manager, Data Science - Provider Products, you'll lead the analytical team that helps Zocdoc understand, grow, and serve the providers that are fueling Zocdoc to become America's scheduling layer. Your team sits at the center of some of the most consequential product and commercial decisions at Zocdoc - from how providers onboard and engage with our platform, to how our SaaS products create measurable value in their practices. This role is as much about building a team as it is about leading one. You'll be joining a small team of data scientists today, with the expectation to hire more as the work is growing. This is a player-coach role - you get to contribute both through your individual work and your team's. The expectation is that the decisions your team enables directly informs the Provider Products roadmap. You'll enjoy this role if you are Personally motivated by seeing your team's analysis translate into better product and business decisions - not just prettier outputs Autonomous, urgent, and methodical. You hold a high technical bar without making the work feel heavy Highly drawn to the intersection of people leadership and analytical depth - you want to develop great data scientists, not just manage them Passionate about building a team culture where rigor, curiosity, and ownership are the norm Confident assessing the tradeoff of speed vs accuracy The kind of person who can navigate upstream data complexity - understanding how data flows into the systems your team relies on - without losing sight of the product decisions you're ultimately trying to inform Motivated to get your hands dirty alongside your team. Serious about your work, but not about yourself. Your day to day is Leading, coaching, and developing a team of Data Scientists and Senior Data Scientists focused on Zocdoc's Provider Products - building analytical judgment, technical rigor, and comfort with ambiguity across the team Setting and owning the analytical direction for the provider domain - driving product strategy, experimentation, and measurement work while developing a strong understanding of the underlying data sources and pipelines that power your team's analysis Reviewing and guiding analytical approaches - ensuring appropriate method selection, correct interpretation of results, and clear communication of uncertainty and limitations to stakeholders Overseeing experimentation and measurement practices, ensuring success metrics, guardrails, and learning goals are well-defined before work begins Interfacing with senior leadership on making and measuring business decisions and opportunities Helping the team frame analytical problems effectively - balancing stakeholder asks with higher-leverage opportunities the team is uniquely positioned to pursue Identifying recurring analytical needs that can be standardized or shifted toward self-service, while protecting capacity for the high-judgment work that matters most Hiring and onboarding data scientists who meet Zocdoc's technical and analytical bar - evaluating candidates for statistical reasoning, problem framing, and intellectual rigor Working with cutting-edge generative AI tools to improve team workflows, analytical output, and capacity You'll be successful in this role if you have An unrelenting desire to build more equitable, inclusive, and diverse workplaces 6-9+ years of experience in data science, product analytics, or applied quantitative roles - ideally with meaningful exposure to product strategy, experimentation, or two-sided marketplace or B2B product domains 1-3+ years of experience managing or formally mentoring data scientists, with a track record of growing analytical judgment in others The ability to create and implement structure around complex business spaces to incentivize the best possible business decisions Staff-level technical grounding in experimentation, causal inference, statistical modeling, and analytical problem selection Expertise in SQL and an analytical programming language such as Python or R, with the ability to review and assess complex analytical work Comfort working with complex or evolving data sources - you understand how data gets created and shaped upstream, and you use that understanding to guide your team toward more reliable, better-framed analyses Experience guiding teams through ambiguous problems and high-stakes decision contexts - particularly in product environments where the analytical question matters as much as the answer Proven ability to partner with Product and Engineering leaders on roadmap planning and prioritization Strong communication skills: you can translate analytical nuance and uncertainty into clear, actionable guidance for non-technical stakeholders The mentality of an owner and a bias to action - you set direction, move the work forward, and raise the bar without waiting to be asked The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related field; a Master's degree or PhD in a quantitative field is a plus, but not required Zocdoc will consider sponsoring a new qualified applicant for employment authorization for this position. This role is tech-eligible for visa sponsorship. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. M.G.L. c. 149, 19B(2)(b). Benefits If NYC Hybrid (SoHo): Flexible, hybrid work environment at our convenient Soho location Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) Commuter Benefits 401(k) with employer funded match Corporate wellness program with Wellhub Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Catered lunch every day along with beverages and snacks Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified If CA Office Hybrid (San Jose): Flexible, hybrid work environment at our convenient Silicon Valley location Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) Commuter Benefits 401(k) with employer funded match Corporate wellness program with Wellhub Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate's experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details. NYC Base Salary Range $190,000-$270,000 USD Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data and internal equity. The base salary offered will depend on experience, skills, qualifications, and business needs. Certain positions are also eligible for variable pay and/or equity. Silicon Valley, CA Base Salary Range $190,000-$270,000 USD About us Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience . click apply for full job details

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you're blocked. We're here to give power to the patient. For nearly 20 years, we've built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we're going further: building our infrastructure beyond Zocdoc's marketplace topower access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don't want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission Zocdoc's most important asset is our people. As Manager, Data Science - Provider Products, you'll lead the analytical team that helps Zocdoc understand, grow, and serve the providers that are fueling Zocdoc to become America's scheduling layer. Your team sits at the center of some of the most consequential product and commercial decisions at Zocdoc - from how providers onboard and engage with our platform, to how our SaaS products create measurable value in their practices. This role is as much about building a team as it is about leading one. You'll be joining a small team of data scientists today, with the expectation to hire more as the work is growing. This is a player-coach role - you get to contribute both through your individual work and your team's. The expectation is that the decisions your team enables directly informs the Provider Products roadmap. You'll enjoy this role if you are Personally motivated by seeing your team's analysis translate into better product and business decisions - not just prettier outputs Autonomous, urgent, and methodical. You hold a high technical bar without making the work feel heavy Highly drawn to the intersection of people leadership and analytical depth - you want to develop great data scientists, not just manage them Passionate about building a team culture where rigor, curiosity, and ownership are the norm Confident assessing the tradeoff of speed vs accuracy The kind of person who can navigate upstream data complexity - understanding how data flows into the systems your team relies on - without losing sight of the product decisions you're ultimately trying to inform Motivated to get your hands dirty alongside your team. Serious about your work, but not about yourself. Your day to day is Leading, coaching, and developing a team of Data Scientists and Senior Data Scientists focused on Zocdoc's Provider Products - building analytical judgment, technical rigor, and comfort with ambiguity across the team Setting and owning the analytical direction for the provider domain - driving product strategy, experimentation, and measurement work while developing a strong understanding of the underlying data sources and pipelines that power your team's analysis Reviewing and guiding analytical approaches - ensuring appropriate method selection, correct interpretation of results, and clear communication of uncertainty and limitations to stakeholders Overseeing experimentation and measurement practices, ensuring success metrics, guardrails, and learning goals are well-defined before work begins Interfacing with senior leadership on making and measuring business decisions and opportunities Helping the team frame analytical problems effectively - balancing stakeholder asks with higher-leverage opportunities the team is uniquely positioned to pursue Identifying recurring analytical needs that can be standardized or shifted toward self-service, while protecting capacity for the high-judgment work that matters most Hiring and onboarding data scientists who meet Zocdoc's technical and analytical bar - evaluating candidates for statistical reasoning, problem framing, and intellectual rigor Working with cutting-edge generative AI tools to improve team workflows, analytical output, and capacity You'll be successful in this role if you have An unrelenting desire to build more equitable, inclusive, and diverse workplaces 6-9+ years of experience in data science, product analytics, or applied quantitative roles - ideally with meaningful exposure to product strategy, experimentation, or two-sided marketplace or B2B product domains 1-3+ years of experience managing or formally mentoring data scientists, with a track record of growing analytical judgment in others The ability to create and implement structure around complex business spaces to incentivize the best possible business decisions Staff-level technical grounding in experimentation, causal inference, statistical modeling, and analytical problem selection Expertise in SQL and an analytical programming language such as Python or R, with the ability to review and assess complex analytical work Comfort working with complex or evolving data sources - you understand how data gets created and shaped upstream, and you use that understanding to guide your team toward more reliable, better-framed analyses Experience guiding teams through ambiguous problems and high-stakes decision contexts - particularly in product environments where the analytical question matters as much as the answer Proven ability to partner with Product and Engineering leaders on roadmap planning and prioritization Strong communication skills: you can translate analytical nuance and uncertainty into clear, actionable guidance for non-technical stakeholders The mentality of an owner and a bias to action - you set direction, move the work forward, and raise the bar without waiting to be asked The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related field; a Master's degree or PhD in a quantitative field is a plus, but not required Zocdoc will consider sponsoring a new qualified applicant for employment authorization for this position. This role is tech-eligible for visa sponsorship. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. M.G.L. c. 149, 19B(2)(b). Benefits If NYC Hybrid (SoHo): Flexible, hybrid work environment at our convenient Soho location Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) Commuter Benefits 401(k) with employer funded match Corporate wellness program with Wellhub Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Catered lunch every day along with beverages and snacks Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified If CA Office Hybrid (San Jose): Flexible, hybrid work environment at our convenient Silicon Valley location Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) Commuter Benefits 401(k) with employer funded match Corporate wellness program with Wellhub Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate's experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details. NYC Base Salary Range $190,000-$270,000 USD Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data and internal equity. The base salary offered will depend on experience, skills, qualifications, and business needs. Certain positions are also eligible for variable pay and/or equity. Silicon Valley, CA Base Salary Range $190,000-$270,000 USD About us Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience . click apply for full job details

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: You will join the Guest and Host Data Science organization, which powers products and data-driven decisions over Airbnb's marketplace of Guest and Hosts. You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build, launch and iterate on our product roadmap to drive growth and deeper sophistication through experimentation, modeling, foundational tools and insights. Our work is core to ensuring that Airbnb's strategy roadmap stays highly relevant for our users while supporting the long-term health of our marketplace. We work directly with decision makers in engineering and product to develop data-driven frameworks, technical solutions, evaluate product changes and guide the company through rigorous measurement and modeling. The Difference You Will Make: Under this general application, you will be considered for applications over several tracks. Growth Product Data Science Partner directly on growth initiatives to build, ship, measure incrementality of bookings/attach rate/revenue, and optimize 0-to-1 customer-facing features Thought partnership with Product to define strategy, sequence iteration, scale impact via science frameworks and as the go-to tech lead around data, experimentation, and domain understanding Build observational causal inference models to deeply understand guest intent, identify underlying mechanisms, and build data products to measure impact, and inform feature objectives and tradeoffs Champion AI-enabled Product Understanding, to scale data-driven frameworks, robust measurement, and compelling storytelling of data learnings to guide recommendations and roadmaps with senior leaders Pricing Data Science Develop a pricing guidance system for hosts as well as experimental and observational methods to measure the impact of pricing feature launches. Collaborate with product and cross-functional teams to pioneer pricing strategies and translate advanced modeling into actionable recommendations Develop foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact Craft compelling data narratives to surface actionable insights, empower data-driven decision making and influence the future direction of Airbnb's pricing ecosystem Marketplace Optimization and Ranking Develop models and analytic frameworks that improve listing ranking and recommendation. This includes incorporating marketplace dynamics such as listing availability, supply quality, and long-term ecosystem health into ranking decisions. Partner closely with Machine Learning Engineers and Product to launch high-impact search improvements. Design experiments and evaluation frameworks to understand the impact of search and AI-driven product improvements. Build scalable data products and modeling pipelines that power ranking features, query understanding, and personalization. Your work will help enable the next generation of AI-powered search experiences at Airbnb Connect marketplace thinking, modeling, and experimentation across teams and set the technical direction for modeling and experimentation in search, ranking and personalization. The ideal candidate will be curious, optimistic, and relentless at leading innovation in using AI tools to scale experimentation and data-driven decisions, development of domain-relevant input metrics, and continuous understanding of tradeoffs and end-to-end guest product journeys. You will hold a high bar for customer experience and a strong desire to accurately understand user behavior and drive business growth over both Homes and non-Homes verticals. Your expertise: Causal inference expertise. Experience with machine learning techniques in a marketplace product setting 9+ years of relevant industry experience and a Master's degree or PhD in a quantitative field Strong coding skills in SQL and either Python or R. Comfort with building proof-of-concept prototypes. Passionate about AI and possessing a learner's attitude. Proven ability to be driven and succeed in collaborative environments with cross-functional stakeholders and also in independent work settings. Ability to autonomously set a roadmap for business impact. Proven ability to communicate clearly and effectively to audiences of varying technical levels Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: . Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. Equal Employment Opportunity: Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $200,000-$242,000 USD Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb's hiring process: our open roles are posted on Airbnb's Career's Page at and our recruiters correspond only email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We'll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.

Job Description: Building trusted markets - powered by our people At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. We're building meaningful ways to support professional and personal development while strengthening the trust we've earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to "go for it" and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities. To support strong partnership and team connection, this role follows a four day in office work model. Location Overview Cboe HQ is located in the historic Old Post Office district, it's a landmark that blends classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering an abundance of natural light and panoramic views of the city skyline and the Chicago River. With its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants, a fitness center, and collaborative workspaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas. Role Overview Cboe Global Markets is the world's go-to derivatives and exchange network, providing trading solutions and products in multiple asset classes, including equities, derivatives, FX, and digital assets. Cboe's Regulatory Division directly contributes to the company's success by promoting fair, transparent, and trusted markets, through effective and efficient market oversight. We operate surveillance, examination, and investigative programs aimed at detecting and disciplining, or preventing, violative behavior. Are you passionate about leveraging cutting-edge Artificial Intelligence and Machine Learning to ensure the integrity and transparency of global financial markets? As a Senior Machine Learning Engineer - Regulatory at Cboe Global Markets, you'll have the opportunity to work with a highly skilled team to prototype, train, and deploy ML models and AI applications that monitor financial markets generating terabytes of new data every trading day. You'll be at the forefront of innovation, utilizing advanced AI tools and scalable data engineering to transform complex data into actionable insights. If you thrive on tackling real-world challenges, excel in programming and large-scale data operations, and want to make a meaningful impact in a fast-paced, highly regulated environment, this is your chance to join a team where your expertise will help shape the future of market oversight. Step into a role where your ideas drive progress, and your contributions truly matter-apply now and help us turn data into value. Your responsibilities will be: Collaborate with the team on machine learning experiments across order book analysis, alert detection, and sequential financial data Develop and operate AI agent systems in production, applying ML engineering discipline to nondeterministic LLM-based software development workflows Own and evolve the team's ML training and deployment infrastructure on Snowflake Build production-quality data pipelines for processing terabytes of daily financial market data Raise the engineering bar through rigorous code review, architecture guidance, and mentorship of junior and mid-level engineers Design and develop production-quality, test-driven Python code Develop explainability and process-compliance solutions for AI and ML Effectively track and evaluate ML model performance across training, validation, inference, and monitoring Work in both on-premises and cloud environments Work closely with complementary engineering teams Produce clear and thorough documentation, including ML proposals, experiment specifications, technical design, and testing scenarios Communicate technical information clearly and concisely to both technical and end-user audiences The ideal candidate has: Bachelor's degree in a quantitative field Production ML experience with time-series / sequential data - you've trained, deployed, and monitored models at scale, and you understand how time affects the structure of data: stationarity, regime change, leakage, and why a model that looks good in backtest fails live. Deep learning applied to temporal or representation problems - sequence models, embeddings/similarity over time-series, or equivalent. Data-reasoning instinct - able to say what the data is telling you and what data should go into a model in the first place, not just which model to reach for. Strong SQL and experience with large-scale datasets. Solid software-engineering foundation: 5+ years, primarily Python, with production practices (version control, automated testing, CI/CD, Docker) and comfort in an enterprise cloud data platform (Snowflake / Databricks / BigQuery, etc.) under real RBAC and governance constraints Excellent written and verbal communication Machine Learning Skills We work across deep learning, LLM agent systems, and classical ML. While you don't need to know all of these, you should have real depth in at least a couple of these, and curiosity about the rest: Deep learning: PyTorch, custom training loops, architecture design and experimentation, multi-GPU distributed ML, experiment tracking, model lifecycle management LLMs: building with LLM APIs in production, prompt, context, and harness engineering as an engineering discipline, agent orchestration, full stack development using coding agents Time series and sequential modeling: TCNs, transformers, time-contrastive learning, or similar approaches on temporal data, as well as classical time series modeling (e.g. ARIMA) Classical ML: scikit-learn, weakly supervised clustering and anomaly detection, feature engineering, model evaluation for production decision systems Benefits and Perks of working for Cboe Global Markets We value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer: Fair and competitive salary and incentive compensation packages with an upside for overachievement Generous paid time off, including vacation, personal days, sick days and annual community service days Health, dental and vision benefits, including access to telemedicine and mental health services 2:1 401(k) match, up to 8% match immediately upon hire Discounted Employee Stock Purchase Plan Tax Savings Accounts for health, dependent and transportation Employee referral bonus program Volunteer opportunities to help you give back to your communities Some of our associates' favorite benefits and perks include: Complimentary lunch, snacks and coffee in any Cboe office Paid Tuition assistance and education opportunities Generous charitable giving company match Paid parental leave and fertility benefits On-site gyms and discounts to other fitness centers Paid Time Off More About Cboe Global Markets We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn. Equal Employment Opportunity We're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. We are committed to fostering a workplace where all individuals are valued and respected. This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future. Salary Ranges (applicable for US locations only) At Cboe, we are committed to providing a competitive, transparent, and market informed total rewards program . click apply for full job details

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health is seeking a visionary and execution-focused Lead Director - Artificial Intelligence, Machine Learning and Data Engineering to build, scale, and operate enterprise capabilities that enable secure, reliable, responsible, and business-driven adoption of artificial intelligence across one of the largest healthcare organizations in the world. Within the Solutions Engineering and Infrastructure organization, this leader will play a critical role in establishing the foundational data, engineering, platform, governance, and operational capabilities required to deliver artificial intelligence and machine learning solutions at enterprise scale. Reporting to the Executive Director, this leader will oversee teams responsible for developing reusable data products, standing up platforms and components to accelerate AI solution delivery, launch developer enablement accelerators, establish DevSecOps/MLOps/LLMOps operational standards and frameworks for deploying and scaling agentic systems. This role combines deep technical expertise with demonstrated success leading large platform engineering organizations, driving enterprise transformation, delivering platform excellence, and developing high-performing teams. This is a U.S.-based REMOTE position; candidates must reside within the United States. PRIMARY DUTIES AND RESPONSIBILITIES Lead the strategy, architecture, and delivery of enterprise AI platform capabilities, including RAG, GraphRAG, vector search, MCP servers, memory and context services, reusable agents, model lifecycle management, and developer enablement accelerators that drive scalable AI/ML adoption. Lead the strategy, development, and operation of reusable data products and enterprise data engineering capabilities, including data ingestion, transformation, quality, metadata management, lineage, feature engineering, and data services that support AI, analytics, and business outcomes. Establish enterprise standards and operational practices for platform reliability, observability, infrastructure automation, security, privacy, compliance, model governance, responsible AI, risk management, disaster recovery, capacity planning, and audit readiness. Partner with Architecture, Cybersecurity, Infrastructure, Product, Data, and Business leaders to guide technology strategy, evaluate emerging technologies, define enterprise standards, optimize investments, reduce duplication, and accelerate AI and data modernization initiatives. Build, lead, and develop high-performing teams of Engineering Managers, Data Engineers, AI Engineers, Platform Engineers, and Operations Engineers while fostering a culture of innovation, accountability, continuous learning, inclusion, operational excellence, and measurable business impact. REQUIRED QUALIFICATIONS 10+ years of experience in software engineering, data engineering, artificial intelligence, machine learning, platform engineering, or related engineering disciplines, including designing and delivering enterprise-scale technology solutions. 7+ years of experience building and leading large-scale platform engineering organizations responsible for enterprise AI/ML platforms, data platforms, products, and technology delivery. 7+ years of hands-on experience building and scaling AI/ML platforms, DevSecOps, MLOps, LLMOps, deployment automation, security engineering, and platform operations supporting mission-critical workloads. 7+ years of experience designing and operating secure cloud-native platforms within highly regulated environments, including privacy, security, governance, compliance, identity management, audit controls, risk management, and operational resilience. 5+ years of experience leading and developing high-performing engineering organizations, including Engineering Managers and senior technical professionals, while building enterprise Data Engineering capabilities, including large-scale data ingestion, batch and streaming architectures, data governance, and reusable data products. PREFERRED QUALIFICATIONS Experience leading enterprise AI, Machine Learning, Data Platform, Platform Engineering, or Developer Platform organizations within healthcare, retail, financial services, technology, or other highly regulated industries. Experience building and governing enterprise AI platforms utilizing Retrieval-Augmented Generation (RAG), GraphRAG, vector databases, foundation models, agentic architectures, MCP frameworks, and responsible AI capabilities. Demonstrated success managing technology investments, platform portfolios, operating models, financial accountability, strategic vendor relationships, and executive stakeholder engagement. Experience supporting large-scale platform modernization initiatives involving cloud-native architectures, platform engineering, developer enablement, enterprise data platforms, and AI/ML transformation programs. Experience leveraging AI-powered engineering tools such as Claude, Claude Code, GitHub Copilot, Microsoft Copilot, and similar technologies to improve software development productivity, platform operations, engineering efficiency, and secure delivery practices. EDUCATION Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience). BUSINESS OVERVIEW Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Pay Range The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 10/31/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Job Description Summary Onsite role in Grand Rapids, MI - candidates must be local or willing to relocate; remote is not an option. The Advanced Technology Organization (ATO) - Emerging Technologies Team focuses on early-stage pursuits and new technology introduction (NTI) in the areas of sensing, autonomy, artificial intelligence (AI)/machine learning (ML), cybersecurity, and advanced edge hardware. This role requires collaborating within a highly diverse technical team and directly interfacing with the business facing team and product managers to develop a technology strategy aligned with emerging market opportunities. The ATO Systems Security Engineering Technical Leader is expected to provide technical prowess, strategic collaboration, and visionary leadership to the technical team. The ATO Emerging Technologies Team is enabling mission management and multi-domain operations at the edge and is looking for a Technical Leader that can provide a holistic understanding of cybersecurity and electromagnetic spectrum operations (EMSO) strategies to provide a robust mission capability. Working closely with peers in the Emerging Technologies Team as well as product managers and key stakeholders across the ATO and Avionics organization, this individual will facilitate in bringing the strategic vision to reality and provide technical expertise in edge systems security engineering, emerging cybersecurity threats, and EMSO. Job Description Onsite role in Grand Rapids, MI - candidates must be local or willing to relocate; remote is not an option. Essential Responsibilities: More specifically, the individual will: Provide expertise in systems security engineering, particularly for edge devices and embedded platforms. Provide expertise in attack techniques, common and emerging threats, and develop defensive mitigation strategies at the logical and physical component level. Provide expertise in electronic warfare for RF spectrum dominance such as wireless communication, radar, and GPS-denied environments. Understand and apply industry standards and methodologies such as the Risk Management Framework (RMF). Security certifications such as Certified Embedded & Device Security Engineer (CEDSE). CISSP, Security+, Certified Ethical Hacker (CEH) or equivalent as per the DoD Directive 8140 or current DoD 8570 guidelines. Design, develop, and implement cybersecurity solutions in complex heterogeneous compute systems. Knowledge of low-level firmware and real-time software for embedded systems, including hardware-software integration, interfacing, and performance optimization. Develop quantitative risk assessments and analyze cybersecurity vulnerabilities. Support early-stage pursuit and capture strategies including customer engagement, defining/shaping requirements, proposal writing, and writing white papers. Collaborate directly with diverse technical teams, business teams, and product managers to co-develop a strategy that facilitates the transition of new technology into the Avionics product portfolio. Collaborate with subject matter experts (SMEs) and engineers to provide complete and holistic solutions to unique and dynamic customer requirements. Introduce and network with members of the customer community with GE's strategic leaders and sales representatives. Maintain a mindset of continuous learning, and be open to changing technical approaches as state-of-the-art technologies evolve. Develop transition plans such that new technologies developed have a clear path towards successfully fulfilling mission requirements and a continued plan for maturity and productization. Qualifications/Requirements: Bachelor's degree in Engineering, Physics, Mathematics, Computer Science, or related field from an accredited university or college (additional relevant work experience may qualify in lieu of degree). Minimum of 10 years of related experience in systems security engineering, threat intelligence and response, vulnerability assessment, and electronic attacks. Excellent communication, presentation, and technical writing skills tailored to broad variety of audiences. Willingness to travel ( 25%). This position requires U.S. citizenship status. The ability to obtain US Security Clearance. Desired Characteristics: Master's degree or Ph.D. in Engineering, Physics, Mathematics, Computer Science, or related field from an accredited university or college. Active U.S. Security Clearance. Knowledge of ISR, SIGINT, MASINT, and ELINT. Experience modeling, simulating, and analyzing emerging threats. Experience with scripting languages and modeling tools (e.g., Python, MATLAB, C/C++, AFSIM). Experience with intrusion detection, protection, and mitigation techniques. Knowledge of electronic attack methodologies such as signal spoofing and jamming, and associated mitigation strategies. Knowledge of attacks on machine learning algorithms and autonomous systems, and associated mitigation strategies. Knowledge of system engineering concepts and best practices Knowledge of digital signal processing (DSP), sensor deployment, and data acquisition. Proven track record of transitioning applied research to fieldable platforms. Experience applying the latest advancements in AI/ML to increase cyber resiliency. Strategic experience working through early-stage pursuits and customer engagement. Experience with aviation and defense products. Experience in project leadership and execution. Experience working with U.S. Government Sponsors. Experience working on research and development programs and developing rapid-reaction prototypes. Demonstrated capability to constructively partner and drive alignment across matrixed organization. Knowledge of avionics interfaces, military standards, and open architecture standards. The base pay range for this position is $167,000.00 - $223,000.00. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on 10/31/26. GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical, emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. GE Aerospace (General Electric Company or the Company) and its affiliates each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor reserves the right to terminate, amend, suspend, replace or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual. Onsite role in Grand Rapids, MI - candidates must be local or willing to relocate; remote is not an option. This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3 . Additional Information GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing. Relocation Assistance Provided: Yes