Senior Applied Scientist (Bing Places) | Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $119,800–$234,700 / yr
Posted: 4 days ago
Closes: Dec 7, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $177k

$106k most similar roles pay here $248k

This role pays more than 67% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $177k versus about $180k for comparable roles.

Based on 239 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 1568 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1397 roles with salary data.

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At a glance

TL;DR · Senior Applied Scientist (Bing Places) | Microsoft Careers

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The Bing Places team seeks a Senior Applied Scientist to design, build, and deploy advanced AI solutions for local search experiences used by millions daily. This role involves formulating complex problems as machine learning tasks, developing models that enhance quality and relevance, conducting data analysis, prototyping new approaches, and integrating models into production systems at Microsoft scale. The ideal candidate will have a deep understanding of large language models (LLMs), retrieval augmented generation (RAG), and ranking techniques, along with expertise in Python, PyTorch, TensorFlow, or similar tools. Experience with distributed training, model optimization, and real-world experimentation is essential, as is the ability to collaborate effectively with engineering and product teams while contributing to the scientific community through publications and patents.

Skills

Python PyTorch TensorFlow JAX RAG LLMs A/B Testing Distributed Training Model Optimization CI/CD ML Infrastructure PostgreSQL MSSQL Kubernetes AWS Azure GitHub GitLab

What you'll do

Design, implement, and evaluate ML-based models to enhance Bing Places quality, relevance, and coverage.
Conduct rigorous data analysis to understand system behavior and define success metrics for AI tasks.
Prototype new modeling approaches and iterate based on offline evaluation and online experimentation results.
Own experimentation pipelines including offline validation and large-scale online A/B testing.
Partner with engineers to integrate models into production systems ensuring long-term reliability and performance.

What we're looking for

Bachelor's degree in Computer Science or equivalent experience with 4+ years related work.
Design, implement, and evaluate AI solutions for real-world systems using ML frameworks.
Experience in distributed training, model optimization, and large-scale production infrastructure.
Hands-on development of models on large datasets and proficiency in Python.
Deep understanding of experimentation methodologies including offline metrics and A/B testing.
Ability to independently scope problems and deliver high-quality solutions in ambiguous environments.