Machine Learning Research Manager

Rad AI•San Francisco, CA

1d•$200,000 - $230,000•Hybrid

About The Position

Rad AI is seeking a Machine Learning Research Manager to lead a team of applied and clinical researchers focused on clinical AI, language modeling, and radiology. This is a player-coach role where you will mentor team members, set technical direction, and remain hands-on with the research. You will play a key role in scaling the research organization and collaborating with clinicians, engineers, and product leaders to bring innovative ideas into production. Rad AI is a rapidly growing company in the healthcare AI space, with significant funding and partnerships with major healthcare systems. We are recognized for our impact on patient care and our innovative AI solutions.

Requirements

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 Haves

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

Responsibilities

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