Principal Applied Scientist
Job Description
We are the recommendation ML team in Microsoft AI Org. Our team focuses on ML solutions for MSN feed recommendation, including large-scale DNN modeling for user engagement prediction, value model tuning, recommendation foundational model via LLM, user understanding, content understanding, AI powered content generation, etc. The team is the backbone of a variety of recommendation scenarios in Microsoft AI including MSN and Copilot. Join us to solve the most challenging ML problems and make a huge impact! Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Locations
- Redmond, Washington, United States, Redmond, Washington, United States
- Mountain View, California, United States, Mountain View, California, United States
- Los Angeles, California, United States, Los Angeles, California, United States
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
220,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 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 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. (degree)
- OR 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) (degree)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research) (degree)
- OR equivalent experience. (degree)
- 6+ years of industry experience on applied AI/ML for web scale products. (degree)
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. (degree)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) (degree)
- OR equivalent experience. (degree)
- 8+ years of industry experience on applied AI/ML for web scale products. (degree)
- Having publications at top AI/ML conferences (e.g., KDD, SIGIR, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.). (degree)
- Demonstrated capability to grow the business through the innovation of ML algorithms. (degree)
- Experience in Software Engineering and familiar with ML Infra. (degree)
Preferred Qualifications
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. (degree)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) (degree)
- OR equivalent experience. (degree)
- 8+ years of industry experience on applied AI/ML for web scale products. (degree)
- Having publications at top AI/ML conferences (e.g., KDD, SIGIR, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.). (degree)
- Demonstrated capability to grow the business through the innovation of ML algorithms. (degree)
- Experience in Software Engineering and familiar with ML Infra. (degree)
Responsibilities
- Lead the design and implementation of ML solutions for the recommendation ranking stack.
- Drive user growth.
- Drive the innovations in recommendation algorithms.
Travel Requirements
4 days / week in-office
