Microsoft
Senior Applied Scientist
Redmond, WA, US · Senior
Sponsorship not specifiedDetected 1 day ago
Machine LearningLLMsStatisticsResearchCollaboration
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odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Build deep expertise in applied research and modern LLM and ML techniques, and apply it to influence product needs and scientific direction. Review business and product requirements, incorporate research, and apply scientific rigor to design, develop, and evaluate methods and models that deliver measurable impact. Collaborate with stakeholders to understand
- user requirements, gather feedback, and iteratively improve models and solutions. Design, implement, and deploy AI/ML solutions that meet quality, scalability, and reliability standards, and translate project vision into actionable milestones, estimates, and plans. Document experiments and share findings to promote innovation, and contribute to ethics and
Responsibilities
- Build deep expertise in applied research and modern LLM and ML techniques, and apply it to influence product needs and scientific direction.
- Review business and product requirements, incorporate research, and apply scientific rigor to design, develop, and evaluate methods and models that deliver measurable impact.
- Collaborate with stakeholders to understand user requirements, gather feedback, and iteratively improve models and solutions.
- Document experiments and share findings to promote innovation, and contribute to ethics and privacy practices related to research and data collection.
- Partner closely with cross-functional teams - including engineers, product managers, and data engineers - to deliver high-impact features and platform improvements.
- 2+ years experience developing and deploying AI/ML or GenAI products or systems at multiple points in the product cycle from ideation to shipping.
- Experience developing, fine-tuning, or evaluating large language models (LLMs) and GenAI systems.
Benefits
- Design, implement, and deploy AI/ML solutions that meet quality, scalability, and reliability standards, and translate project vision into actionable milestones, estimates, and plans.
- A growth mindset, passion for continuous learning, and drive to make both systems and teams more efficient and effective.
Company info
- Experience conducting research as part of a research program (in academic or industry settings), including publications such as patents, libraries, or peer-reviewed academic papers.
- Embody our culture and values.
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This listing is sourced directly from Microsoft's careers page and normalized into a canonical job model.