Microsoft

Applied Scientist II (Bing Places)

United States, Washington, Redmond · Mid

Sponsorship not specified$102k-$202kDetected 11 hours ago

PythonMachine LearningTensorFlowPyTorchData AnalysisLLMsRAGMLOpsStatisticsA/B TestingIntellectual PropertyResearchCollaborationProblem Solving

About the role

You will work on challenging problems that require deep technical expertise and a strong focus on real‑world impact.
You will work end‑to‑end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting.

Own experimentation pipelines, including offline validation and large‑scale online A/B flighting
Partner closely with engineers to integrate models into production systems and ensure long‑term reliability and performance
Drive technical direction within your problem space and influence broader modeling and platform decisions
Document and communicate results through technical design reviews, papers, and patent filings
You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents

OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

Master's degree or PhD in a relevant technical field
4+ years of experience applying AI solutions or LLMs to real‑world systems (RAG, ranking, classification, reasoning)
Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
Understanding of experimentation methodologies, including offline metrics and online A/B testing
Ability to clearly communicate technical concepts and trade‑offs to both technical and non‑technical audiences
Background in search, information retrieval, knowledge graphs, or local/entity understanding
Track record of publications or granted/pending patents
Familiarity with distributed training, model optimization, and production ML infrastructure

Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production
Design, implement, and evaluate ML‑ and LLM‑based models that improve Bing Places quality, relevance, and coverage

equal opportunity employer.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the

All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status

This listing is sourced directly from Microsoft's careers page and normalized into a canonical job model.