Siemens Healthineers is looking to pioneer breakthroughs in healthcare by developing and deploying cutting-edge machine learning models for medical devices, and the Research ML Ops Software Engineer will play a key role in building and maintaining infrastructure to support the end-to-end lifecycle of machine learning experiments.
Requirements
- Experience with cloud platforms and local/on-prem computer clusters.
- Programming skills in C / C++ and at least one other language (preferably Python), and knowledge of industrial approaches of software development.
- Familiarity with medical imaging would be beneficial (SPECT, PET, CT, DICOM, coordinate systems, image registration, etc.).
- Familiarity with deep learning libraries.
- Knowledge of regulatory requirements for AI medical devices will be beneficial.
- Familiarity with different types of databases.
- Experience with MLOps, DevOps or data engineering roles.
Responsibilities
- Designing and implementing scalable, reproducible ML pipelines for research workflows.
- Automating data versioning, model tracking, and artifact management.
- Containerizing training and inference environments.
- Integrating model lineage tracking with research databases.
- Collaborating with data scientists to transition research code into production-ready workflows.
- Ensuring infrastructure supports compliance, audit logging, and regulatory reporting (e.g., 21 CFR Part 11).
- Supporting Continuous Integration (CI)/ Continuous Deployment (CD) workflows for experiments and reproducible reporting.
Other
- Bachelor’s or M.S. in Computer Science, Software Engineering or related field.
- Minimum of 3 years of experience (advanced degree may be substituted for experience, where applicable).
- We are only considering candidates who are authorized to work in the United States without the need for current or future visa sponsorship.
- Must be able to work with controlled technology in accordance with US export control law.
- Must comply with all United States export control laws and regulations.
