Rad AI
Machine Learning Research Manager
San Francisco - Onsite +1 · On-site · Manager · Full-time · Posted Jul 17, 2026
- Location
- San Francisco - Onsite
United States - Remote - Experience
- 6+ years of applied ML research experience; people management experience or equivalent evidence as a de facto team lead.
- Education
- MS or PhD in Computer Science, Machine Learning, Computational Linguistics, Biomedical Informatics, or a related quantitative field, or equivalent practical experience.
About the job
Leads a small research team and guides clinical AI and language-model research from problem framing through production deployment in radiology.
What you'll do
- Manage and mentor research scientists; set priorities and support team execution.
- Guide research problem framing, experiments, training, evaluation, and technical tradeoffs.
- Partner with clinicians, engineering, and product teams to turn research into practical production systems.
What they ask for
- 6+ years of applied ML research experience, with a track record of taking work from idea to production impact.
- Prior people management experience or clear evidence of leading multi-person research efforts.
- Strong background in NLP and modern deep learning, especially fine-tuning transformer-based systems and large language models.
- Strong hands-on experience with modern ML tooling such as PyTorch and common model training and evaluation workflows.
Nice to have
- Experience in healthcare, clinical AI, biomedical ML, or regulated, privacy-sensitive environments.
- Experience with RAG, RLHF, GRPO, or other modern model training techniques.
Tools
NLP, transformer-based systems, large language models, PyTorch, RAG, RLHF, GRPO
AI focus
Lead research and development of NLP, language-model, and reasoning systems for clinical text, diagnostic criteria, reporting workflows, and other healthcare data; guide their evaluation and production deployment.
Model-written summary · the original posting is authoritative