Machine Learning Research Manager

What You’ll Be Doing

• Directly manage and mentor a small team of applied and clinical researchers, 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, 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 build 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 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 development 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 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
• Preferably eager to collaborate and work in our new San Francisco office and shape the culture and tone of that space