Senior Data Quality & Active Learning AI Engineer (Plymouth)

Job Title Senior Data Quality & Active Learning AI Engineer (Plymouth) Job Description Senior Data Quality & Active Learning AI Engineer - Plymouth, Minnesota Build compliant, audit-ready medical imaging datasets and active learning systems that accelerate the development of artificial intelligence (AI) and non-AI software for Philips products.

Your role: Own the design and operation of compliant data-quality and active-learning pipelines for multimodal clinical data, primarily medical images and metadata, on cloud infrastructure. Establish data contracts, de-identification workflows, validation and release gates, dataset versioning, readiness metrics, and traceable documentation so data are audit-ready and fit for model and software development.

Join the growing Data and AI Platforms team within the Software and AI organization in research and development, working closely with data and AI engineers, medical informaticians, architects, data stewards, clinical partners, privacy experts, and external annotation teams.

Partner with algorithm, AI, and software developers who use these data to create AI-enabled and non-AI software that becomes part of Philips products. Build active-learning loops that prioritize labeling, measure label quality and coverage, and accelerate safe dataset improvement; collaborate on preprocessing, augmentation, feature extraction, embeddings, and handoff to the data platform.

You will help shape modern data and AI engineering practices while growing your expertise in regulated medical-device development, cloud platforms, synthetic and simulated data, and AI-assisted and agentic engineering workflows. You're the right fit if: You've acquired 5+ years of relevant individual-contributor experience in data quality, data engineering, or machine learning data pipelines, ideally in healthcare and with medical imaging data.

You have a bachelor's degree in engineering, computer science, biomedical or health informatics, data science, mathematics, statistics, or a related field; a master's degree with 3+ years of relevant experience or a doctorate with relevant experience is also acceptable.

Your skills include Python and Structured Query Language (SQL) for data extraction, transformation, validation, and automation, plus experience building scalable, event-driven and batch-oriented data pipelines in Amazon Web Services (AWS) using distributed processing frameworks such as Apache Spark or Ray.

You can design workflows that trigger when new imaging or metadata becomes available and apply data-quality checks, lineage, dataset versioning, and release gates. You have hands-on experience with Digital Imaging and Communications in Medicine (DICOM) and Picture Archiving and Communication System (PACS) concepts, 2D/3D imaging volumes, de-identification, and protected health information (PHI) handling.

You understand the Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), privacy by design, and audit-ready documentation under medical-device design controls; Health Level Seven (HL7) and Fast Healthcare Interoperability Resources (FHIR) familiarity is a plus.

You bring active-learning expertise, including uncertainty, diversity, and error-based sampling, label-quality measurement, coverage analysis, and bias/drift assessment. Proficiency with AI-assisted engineering tools such as OpenAI Codex and Claude Code, plus agentic AI workflows, is expected; familiarity with PyTorch or TensorFlow and graphics processing unit (GPU)-accelerated preprocessing, and experience creating, validating, or assessing synthetic or simulated data, are pluses.

You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position . You're a clear, collaborative communicator who surfaces risks, resolves blockers, shares progress and knowledge gaps, and works effectively with globally distributed technical, clinical, governance, and software stakeholders.

How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

This is an office role based in Plymouth, Minnesota. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve.

Do the work of your life to help improve the lives of others. Learn more about our business . Discover our rich and exciting history. Learn more about our purpose. Learn more about our culture. Philips Transparency Details The pay range for this position in Bedford, MA is $156,240-187,488.

The pay range for this position in Plymouth, MN is $156,240-187,488. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.

In addition, other compensation, such as an annual incentive bonus, sales commission or long-term incentives may be offered. Employees are eligible to participate in our comprehensive Philips Total Rewards benefits program, which includes a generous PTO, 401k (up to 7% match), HSA (with company contribution), stock purchase plan, education reimbursement and much more.

Details about our benefits can be found here . At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case.

Additional Information Company relocation benefits will not be provided for this position. For this position, you must reside in or within commuting distance to Plymouth, Minnesota. This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates.

Interested candidates are encouraged to apply as soon as possible to ensure consideration. Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.