Senior Researcher - Machine Learning - Microsoft Research

Microsoft
San Francisco Bay area / New York City metropolitan area2026-02-24onsite

About the job

Health Futures is a mission-focused organization within Microsoft Research, working at the forefront of artificial intelligence, healthcare, and life sciences research. We are a global and diverse team of engineers, scientists and domain experts who are working on expanding the technological frontier of health and life sciences through deep research. We offer a unique and vibrant environment that features innovative academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations between all three. Our mission is to empower every person on the planet to live a healthier future.  We are looking for a Senior Researcher - Machine Learning - Microsoft Research to help us advance the ways artificial intelligence can accelerate and advance discovery in biomedicine and the life sciences. This role is ideal for a candidate with intellectual curiosity who wants to craft a research agenda, articulate it clearly to team members with a diverse set of backgrounds, and execute on it as a member of that research team. Successful applicants will bring deep expertise about AI and will be passionate about making new discoveries in health and the life sciences

Responsibilities

Design, implement, and evaluate novel methodologies for scientific discovery through artificial intelligence, non-exhaustively including techniques around post-training, inference-time optimization, interpretability, and experimental design.

Deep Learning Training Methods: Leverage a background in state-of-the-art techniques to post-train and fine-tune for application-specific scenarios.

System Optimization: Develop approaches for inference-time optimization of interaction patterns with deep learning models, e.g., context optimization, intelligent sampling, etc.

In addition to these specific technical areas, candidates will be required to participate in robust, repeatable team-based technical research and be effective communicators.

Qualifications

Minimum

Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience OR Bachelor's Degree in relevant field AND 4+ years related research experience OR equivalent experience.

Preferred

Experience creating and using generative AI or other ML techniques in the life sciences.

Experience with pre-, mid-, and/or post-training deep learning models.

Experience innovating software, systems, or workflows that leverage generative AI-based systems to solve real-world problems in the life sciences. This includes techniques like context engineering, prompt optimization, and optimization of test-time compute.

Experience creating robust, repeatable technical research artifacts as part of an interdisciplinary team.

Experience publishing academic papers as a lead author or essential contributor.