Microsoft

Senior Applied Scientist-Ads Relevance

Microsoft • $119K — $234K *
Mountain View, CA 94040In-Person
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's Degree in relevant field with applicable years of experience in statistics, predictive analytics, or research.
  • Over 4 years of experience in natural language processing or computer vision with deep learning methods.
  • Proficient in developing and operating machine learning systems using Python, C++, or similar languages.
  • Experience in online advertising is essential.
  • Hands-on experience with distributed training of small/large language models and their optimization techniques.

Responsibilities

  • Define and optimize ad relevance issues to enhance user and advertiser experiences.
  • Drive algorithmic enhancements employing deep learning, particularly with NLP and computer vision techniques.
  • Deploy and scale solutions that improve ad relevance continuously.
  • Analyze system performance to pinpoint enhancements through testing.

Benefits

  • Comprehensive health and wellness programs.
  • Flexible working arrangements.
  • Access to continuous learning and professional development resources.
  • Opportunities to work on impactful AI-driven projects.
Full Job Description
Overview

Microsoft Monetization is building the next generation of AI-powered advertising and commerce experiences across Search, Shopping, Copilot, and emerging agentic surfaces. As conversational agents increasingly become the interface between users and businesses, we are reimagining how products, services, and ads are discovered, selected, personalized, and delivered.

In this role, you will design and implement cutting-edge machine learning models and algorithms that power relevance systems across Microsoft Ads, Bing users, Copilot, and beyond.

You will have a direct impact on millions of users and advertisers, delivering scalable solutions to enhance ad relevance and optimize user experiences. This role is part of Microsoft Artificial Intelligence (MAI)-Ads Engineering and is responsible for the end-to-end relevance problem for our ads products.

Responsibilities
  • Defining the ad relevance problem across different ad scenarios to optimize both the user and advertiser experience.
  • Driving algorithmic and modeling improvements to the system using primarily deep learning techniques from NLP and computer vision, including the latest LLM models.
  • Deploying robust and scalable solutions to continuously improve ad relevance.
  • Analyzing model and system performance to identify opportunities based on offline and online testing.


Qualifications

Required Qualifications:
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate 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 equivalent experience.


Preferred Qualifications:
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • 4+ years of experience developing natural language processing or multimodal machine learning systems using deep learning, including hands-on experience with transformer-based small language models (SLMs) or large language models (LLMs).
    • OR 4+ years working experience in Computer Vision (CV) with latest deep learning technologies including Vision Transformers.
  • 4+ years of experience developing and operating production machine learning or AI systems using Python, C++, or equivalent programming languages.
  • Experience in online advertising.
  • Experience with distributed training or inference for SLMs and LLMs, including data and model parallelism, mixed-precision training, checkpointing, experiment management, performance optimization, and efficient serving.
  • Ability to work independently in a team to deliver innovative solutions solving challenging business/technical problems from high level vision and architecture, down to quality design and implementation.
  • Experience evaluating SLMs, LLMs, or agentic systems using task-specific offline metrics, human or model-assisted evaluation, safety and robustness testing, latency and cost analysis, and controlled online experiments.
  • Experience designing and implementing agentic AI systems that use tool calling, retrieval, planning, memory, structured outputs, multi-step workflows, or multi-agent coordination, with appropriate safeguards and observability.
  • Experience applying responsible AI practices to model and agent development, including evaluation for safety, reliability, privacy, security, bias, groundedness, and misuse risks.
  • Have publications at peer-reviewed Data Science/AI conferences (e.g. KDD- Knowledge Discovery and Data Mining, CIKM- Conference on Information and Knowledge Management, SIGIR- Special Interest Group on Information Retrieval, NeurIPS- Neural Information Processing Systems, CVPR- Computer Vision and Pattern Recognition, ICML International Conference on Machine Learning, ICLR- International Conference on Learning Representations, ICCV- International Conference on Computer Vision, and ACL- Association for Computational Linguistics).


#MicrosoftAI

Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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.

Microsoft Careers

Join Microsoft today and be part of a company that values innovation, leadership, and diversity in its workforce. As a global leader in technology and digital transformation, Microsoft offers unparalleled job opportunities that propel your career to new heights.

Explore Career Opportunities at Microsoft

Whether you're a seasoned professional looking for your next challenge or a recent graduate eager to start your career, Microsoft has a position that suits your skills and ambitions. We are committed to fostering a culture of growth and learning, where every team member is supported in expanding their horizons.

Internship Programs

Kickstart your career with a Microsoft internship. Our internships provide invaluable workplace experience and networking opportunities in a supportive and dynamic environment. You'll work on real projects, learn from industry leaders, and gain the skills necessary for a successful career in technology.

Employment Benefits

Choosing a career at Microsoft means more than just a job. Our employees enjoy a range of benefits designed to empower them both professionally and personally. These include comprehensive health benefits, flexible working conditions, and opportunities for career advancement through professional development and diversity training.

Inclusive Culture and Diversity

At Microsoft, we believe that innovation comes from diversity of thought and inclusion. We are committed to a workplace where everyone feels valued and inspired. Our leadership is dedicated to fostering an environment where diverse perspectives lead to breakthrough innovations and a competitive edge.

Grow with Us

Career growth at Microsoft is about more than climbing the corporate ladder; it's about continuous learning, expanding your skills, and improving your capabilities. With access to various leadership and training programs, you can evolve as a professional and make a significant impact within the company and on the global stage.

Hiring Process

Our hiring process is designed to identify true potential. Starting with a review of your resume, followed by interviews that assess your problem-solving abilities and cultural fit, we ensure that all candidates have a fair chance to demonstrate their strengths and potential to contribute to our team.

Networking and Professional Development

Microsoft is a place where you can build a professional network that spans the globe. Our employees benefit from connections with top-tier professionals and industry leaders, which opens doors to innovative projects and collaborative opportunities that are second to none.

Join Our Team

If you're ready to take on exciting challenges and make a difference in the world of technology, explore the job opportunities at Microsoft. Search for open positions that match your skills and interests, and prepare to embark on a rewarding career path filled with innovation and opportunities for personal and professional growth.

Stay Connected

Keep up to date with the latest at Microsoft Careers by subscribing to our job alert emails. Get tailored content that aligns with your career preferences and discover the exciting and rewarding opportunities that await at Microsoft.

SEARCH MICROSOFT JOBS

At Microsoft, your future is limitless. Join us in our mission to empower every person and every organization on the planet to achieve more. Your journey with Microsoft starts here.
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

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Microsoft

More Information Technology Jobs

Find similar Senior Applied Scientist-Ads Relevance jobs:

NationwideMountain View, CA