Machine Learning Research Manager
$200,000–$230,000 year
On-siteSan Francisco, California, United States
Job Summary
Directly manage and mentor a small team of applied and clinical researchers, driving productivity through prioritization, unblocking work, and establishing a high-trust environment. Stay hands-on as a player-coach by guiding problem framing, experimental design, and tradeoff decisions across multiple research efforts. Partner deeply with radiologists, engineers, and product leaders to identify high-leverage opportunities and translate them into production-scale systems. Build and evaluate advanced NLP and reasoning systems that work with clinical text and reporting workflows, while raising the bar on research quality and reproducibility. Stay current on machine learning advances to integrate new methods that materially improve customer and clinical outcomes.
Required Qualifications
- 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
Desired Qualifications
- 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
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