Machine Learning Research Manager

What You’ll Be Doing

• Directly manage and mentor a small team of research scientists, helping them grow in scope, judgment, execution, and communication
• Drive research productivity by clarifying priorities, unblocking work, and creating a high-trust, high-accountability team environment
• Stay close to the technical work as a player-coach by guiding problem framing, experimental design, training and evaluation strategy, and tradeoff decisions across multiple research efforts
• Partner closely with radiologists, clinical experts, engineers, and product leaders to identify the highest-leverage research opportunities and translate them into production-scale systems
• Help the team train and evaluate advanced NLP and reasoning systems that work with clinical text, diagnostic criteria, reporting workflows, and other healthcare data
• Create strong cross-functional working rhythms with engineering, product, and clinical partners so research outputs are practical, trustworthy, and deployable
• Raise the bar on research quality, reproducibility, and communication across the team
• Stay current on relevant machine learning advances and help the team thoughtfully integrate new methods when they materially improve customer and clinical outcomes

Who We’re Looking for

• MS or PhD in Computer Science, Machine Learning, Computational Linguistics, Biomedical Informatics, or a related quantitative field, or equivalent practical experience
• 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 operating as a de facto team lead for multi-person research efforts, with strong coaching and prioritization skills
• Strong background in NLP and modern deep learning, especially in fine-tuning transformer-based systems and large language models
• Experience applying ML to hard real-world problems where ambiguity, data quality, and operational constraints matter
• Strong hands-on experience with modern ML tooling such as PyTorch and common model training and evaluation workflows
• Demonstrated ability to collaborate closely with domain experts and cross-functional stakeholders, especially in environments where trust, iteration speed, and communication quality matter
• Excellent written and verbal communication skills, with the ability to guide senior researchers while also aligning non-technical partners around research direction and tradeoffs

Nice to Have

• Experience working in healthcare, clinical AI, biomedical ML, or other regulated, privacy-sensitive environments
• Experience with RAG, RLHF, GRPO, and other modern model training techniques
• Experience with radiology, clinical documentation, medical terminology, or clinician-facing workflows
• Experience deploying LLM or NLP systems in production settings
• Experience contributing to research culture through mentorship, technical standards, or organizational leadership
• Familiarity with cloud-based ML workflows and modern research infrastructure

Additional information

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care-making a meaningful impact on millions of lives. Driven by our mission, we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

For roles listed as San Francisco - Onsite

• This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.

For roles listed as United States - Remote

• This role is open to candidates located anywhere in the United States.

For roles listed as San Francisco - Onsite + United States - Remote

• We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.

Benefits

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend
• For roles based outside the US, your recruiter can share more details

• Please be vigilant regarding job scams.
• We advise all candidates to apply directly through our official careers page.
• Our recruiters will use email addresses with the domain @radai.com or.