Senior Researcher - Machine Learning - Microsoft...

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

#Research #MSRR

At Microsoft, our mission-to empower every person and every organization on the planet to achieve more-guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress-people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what's next for everyone.

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.

• 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 Qualifications

• 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.

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

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