Machine Learning Research Manager

The role

You will lead a small team of applied and clinical researchers as a player-coach. You will manage research scientists and partner with clinicians, engineers, and product leaders to develop NLP and reasoning systems for healthcare data.

What you will do

• Manage and mentor a small team of research scientists
• Drive research productivity by clarifying priorities and unblocking work
• Guide problem framing, experimental design, training and evaluation strategy, and tradeoff decisions
• Partner with radiologists, clinical experts, engineers, and product leaders
• Help the team train and evaluate advanced NLP and reasoning systems
• Create cross-functional working rhythms with engineering, product, and clinical partners
• Raise the bar on research quality, reproducibility, and communication
• Integrate new machine learning methods to 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
• Prior people management experience, or clear evidence of operating as a de facto team lead for multi-person research efforts
• 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
• Strong hands-on experience with modern ML tooling such as PyTorch and common model training and evaluation workflows
• Ability to collaborate closely with domain experts and cross-functional stakeholders
• Excellent written and verbal communication skills

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

Benefits

• 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

About the company

Rad AI is a healthcare AI company founded by a radiologist that develops AI-driven solutions for radiology. The company has secured over $140M in funding and aims to empower physicians with cutting-edge AI.