The Senior Researcher - Machine Learning position at Microsoft Research focuses on advancing artificial intelligence applications in biomedicine and life sciences. The role is suited for individuals with a strong intellectual curiosity who can develop and communicate a research agenda within a diverse team. Successful candidates will possess deep expertise in AI and a passion for making discoveries that improve health outcomes. The team is dedicated to innovative research and real-world applications, contributing to the mission of empowering healthier futures.

• Doctorate in a relevant field or a Master's Degree in a relevant field with 3+ years of related research experience or a Bachelor's Degree in a relevant field with 4+ years of related research experience or equivalent experience.
• Experience creating and using generative AI or other machine learning 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.
• Experience creating robust, repeatable technical research artifacts as part of an interdisciplinary team.
• Experience publishing academic papers as a lead author or essential contributor.

• Design, implement, and evaluate novel methodologies for scientific discovery through artificial intelligence.
• Leverage a background in state-of-the-art deep learning techniques to post-train and fine-tune models for application-specific scenarios.
• Develop approaches for inference-time optimization of interaction patterns with deep learning models.
• Participate in robust, repeatable team-based technical research.
• Communicate effectively with team members from diverse backgrounds.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.