Microsoft

Applied Scientist II (Bing Places)

Microsoft • $102K — $202K *
Mountain View, CA 94040In-Person
Information Technology
Less than 5 years of experience
Reposted Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in relevant technical field with 1-2+ years of experience in statistics or predictive analytics
  • PhD in Statistics, Econometrics, or a related field, or equivalent experience
  • 4+ years applying AI solutions or large language models in real-world systems
  • Expertise in machine learning and statistical methods for data-driven problem solving
  • Proficiency in Python with experience in ML frameworks like PyTorch or TensorFlow
  • Familiarity with experimentation methodologies including A/B testing

Responsibilities

  • Formulate complex machine learning and AI tasks from product and engineering problems
  • Design and evaluate ML- and LLM-based models to improve Bing Places relevance and coverage
  • Conduct data analysis to understand system behavior and define success metrics
  • Prototype new modeling approaches and iterate based on evaluation and experimentation
  • Own experimentation processes, including offline validation and large-scale A/B testing
  • Collaborate with engineers to integrate models into production systems and ensure performance
  • Document results through technical design reviews, papers, and patent filings

Benefits

  • Comprehensive health insurance
  • 401(k) retirement savings plan with company match
  • Generous paid time off
  • Professional development opportunities
  • Access to wellness programs
Full Job Description
Overview

The Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for Applied Scientists to help design, build, and ship advanced AI and machine learning solutions-spanning large language models (LLMs), retrieval augmented generation (RAG), learning-to-ranking, and entity understanding-to deliver high-quality, trustworthy local search experiences at scale.

As an Applied Scientist on Bing Places,
  • 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.
  • 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


Bing Location Understanding and Geocoding team - (Redmond, WA)

The Bing Location Understanding (BLU) and Bing Geocoding (BingGC) teams build the core intelligence that powers location interpretation, address understanding, and geospatial reasoning across Bing, Maps, and downstream Microsoft experiences. Our systems operate at global scale and combine machine learning, natural language understanding, ranking, and large-scale data processing to deliver high-quality results in real time.

Responsibilities
  • 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
  • Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics
  • Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation
  • 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


Qualifications

Required Qualifications:

  • 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)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.


Preferred Qualifications:
  • 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)
  • 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 (e.g., PyTorch, TensorFlow, JAX, or similar)
  • Understanding of experimentation methodologies, including offline metrics and online A/B testing
  • Ability to independently scope problems and deliver high-quality solutions in ambiguous environments
  • Strong collaboration skills and experience working with engineering and product partners
  • 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
  • Comfort operating across the full lifecycle-from research and prototyping to production and live operations


Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $102,100.00 - $202,200.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800.00 - $219,200.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Enterprise Technology
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ
MSFT
* Ladders Estimates

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