Senior Applied Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Responsibilities
- Evolve orchestrator reasoning, speed, and support for new capabilities in multi-modality and agent-based systems.
- Advance state-of-the-art model training, including fine-tuning, reinforcement learning, data curation, and experimentation.
- Build and deliver model-driven features from concept to production, including development, evaluation, metrics, and A/B testing.
- Master a broad area of research and applicable research techniques.
- Serve as a team expert on industry trends, products, and advances, influencing product needs.
- Review business and product requirements, incorporate research, and provide strategic direction.
- Ensure scientific rigor, support method development, and apply expertise to support business impact.
- Identify and inspire peers and new research talent, build relationships, and advocate for research initiatives.
- Share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
- Document work and experimentation results, sharing findings to promote innovation.
- Provide guidance on capturing processes and contribute to ethics and privacy policies related to research processes and data collection.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research).
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research).
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research).
- OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements.
- Must pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Desired Qualifications
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research).
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical OR Computer Engineering, OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research).
- OR equivalent experience.
- 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
Benefits
- The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
- For specific work locations (San Francisco Bay area and New York City metropolitan area), the base pay range is USD $160,200 - $261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
- Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Skills
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting…
Company
MicrosoftJob Posted
10 hours ago
Employment Type
Full Time
Work mode
Hybrid
Salary
US$119,800–234,700 / year
Experience Level
Senior
Locations
United States
Qualification
Applicants
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