Principal Applied Scientist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Artificial Intelligence
In short
Responsibilities
- Serve as the technical lead for AI-powered relevance, shopping, recommendation, and agentic commerce initiatives across Copilot, Shopping, and Ads experiences.
- Drive innovation in machine learning technologies including LLMs, SLMs, multimodal AI, retrieval, ranking, personalization, and recommendation systems.
- Define and execute the science roadmap for user intent understanding, product understanding, content relevance, and advertiser matching.
- Lead end-to-end ML development, including model architecture, training data strategy, evaluation, experimentation, calibration, and production deployment.
- Partner with engineering and product teams to deliver scalable, reliable, and cost-efficient AI systems.
- Shape the technical vision for future agent experiences, conversational shopping, and AI-assisted commerce scenarios.
- Drive measurable improvements in customer satisfaction, engagement, relevance quality, and business outcomes.
- Mentor scientists and engineers while raising the technical bar across machine learning, experimentation, and scientific rigor.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience OR equivalent experience.
- Extensive experience building and shipping large-scale machine learning systems in search, recommendation, ranking, advertising, commerce, conversational AI, or personalization.
- Deep expertise in modern machine learning, including deep learning, transformers, representation learning, retrieval systems, recommendation systems, and foundation models.
- Demonstrated experience serving as a technical lead for large-scale cross-organizational initiatives.
- Proven ability to translate research innovations into production systems with measurable business impact.
- Experience with LLMs, SLMs, multimodal AI, and agentic systems.
- Experience in advertising, e-commerce, shopping, recommendation, or marketplace ecosystems.
- Experience developing AI-powered assistants, commerce experiences, or personalization platforms.
- Experience optimizing distributed training and inference systems on large GPU clusters.
- Experience mentoring principal-level engineers, scientists, and technical leaders.
Desired Qualifications
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience OR equivalent experience.
Benefits
- Certain roles may be eligible for benefits and other compensation.
- 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
4 weeks ago
Employment Type
Full Time
Work mode
Hybrid
Salary
US$142,800–274,800 · Negotiable
Hours per week
32
Experience Level
Senior
Locations
United States
Qualification
Applicants
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