| Microsoft Careers

Microsoft

Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$119,800–$234,700 / yr
Posted
53 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k
This role $177k
$106k most similar roles pay here $248k

This role pays more than 64% 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 240 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 1586 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 1414 roles with salary data.

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At a glance

TL;DR · | Microsoft Careers

The Bing Places team seeks a Senior Applied Scientist to design and implement 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 expertise in Python, modern ML frameworks like PyTorch or TensorFlow, experimentation methodologies, and a background in search, information retrieval, or local entity understanding. They should also possess hands-on experience with large-scale datasets, distributed training, and production ML infrastructure, as well as a track record of publications and patents.

What you'll do

  • Design and implement machine learning models to enhance Bing Places quality and relevance.
  • Conduct data analysis to understand system behavior and define success metrics for AI tasks.
  • Prototype new modeling approaches, iterating 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 and performance.

What we're looking for

  • Bachelor's degree in a relevant field plus 4+ years of experience or equivalent.
  • Solid foundation in machine learning, statistical methods, and data-driven problem solving.
  • Hands-on experience developing and evaluating models on large-scale datasets.
  • Proficiency in Python and modern ML frameworks like PyTorch, TensorFlow, JAX.
  • Strong understanding of experimentation methodologies including offline metrics and A/B testing.
  • Experience applying AI solutions or LLMs to real-world systems with user impact.
  • Background in search, information retrieval, knowledge graphs, or local/entity understanding.

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