Applied Scientist II (Bing Places) | Microsoft Careers

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$102,100–$202,200 / yr
Posted
2 days ago
Closes
Dec 14, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k
This role $152k
$86k most similar roles pay here $251k

This role pays less than 70% of similar roles. Most pay $152,150–$207,350 — the shaded band above. At the midpoint, this role pays about $152k 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 1598 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1422 roles with salary data.

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At a glance

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

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The Bing Places team at Microsoft is seeking Applied Scientists to join their Redmond, WA-based location understanding and geocoding teams. As an Applied Scientist, you will design and build advanced AI solutions such as large language models (LLMs) and retrieval augmented generation (RAG) systems to enhance local search experiences used by millions daily. Your day-to-day responsibilities include formulating complex problems, conducting data analysis, developing ML-based models, and integrating them into production systems while ensuring reliability and performance at scale. You will collaborate with engineering teams to experiment with new approaches and document findings through technical reviews and publications. The ideal candidate has a master’s or PhD in a relevant field, 4+ years of experience applying AI solutions to real-world systems, proficiency in Python and modern ML frameworks like PyTorch or TensorFlow, and expertise in machine learning and statistical methods. Experience in search, information retrieval, knowledge graphs, and distributed training is highly valued.

Skills

Python PyTorch TensorFlow JAX A/B testing CI/CD Docker Kubernetes AWS Azure PostgreSQL MongoDB Git GitHub Swagger/OpenAPI RESTful APIs GraphQL MLOps NLP Search engines Information retrieval Knowledge graphs Large language models Machine learning Statistical methods

What you'll do

  • Design and implement machine learning models to enhance Bing Places quality and relevance.
  • Conduct data analysis to identify system opportunities and define success metrics rigorously.
  • Prototype new modeling approaches and iterate based on offline evaluation and online experimentation.
  • Own experimentation pipelines, including offline validation and large-scale A/B testing.
  • Integrate models into production systems with engineers to ensure long-term reliability.

What we're looking for

  • Master’s degree or PhD in a relevant technical field.
  • 4+ years of experience applying AI solutions or LLMs to real-world systems.
  • Proven expertise in machine learning, statistical methods, and data-driven problem solving.
  • Hands-on experience developing and evaluating models on large-scale, real-world datasets.
  • Proficiency in Python and experience with modern ML frameworks like PyTorch, TensorFlow, or JAX.
  • Understanding of experimentation methodologies including offline metrics and online A/B testing.

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