Senior Applied Scientist-Ads Monetization

Job d:

Location:

United States, Washington, Redmond Salary: USD $119,800 - $234,700 per year

Employment type:

Full-Time Work site: 4 days / week in-office

Role type:
Individual Contributor Travel:
Less than 25%
Profession:
Research, Applied, & Data Sciences Discipline:
Applied Sciences Company:
Microsoft Overview Microsoft  Monetization is building the next generation of AI-powered advertising and commerce experiences across Search, Audience, 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  this role, you will Design and implement cutting-edge machine learning models and algorithms that power advertising systems across Microsoft Ads, Bing, Copilot, and beyond.

Work on large-scale machine learning challenges spanning user understanding, ad representation, retrieval, recommendation, ranking, and optimization, with the goal of maximizing value for both users and advertiser

Apply and advance technologies in natural language processing (NLP), computer vision (CV), large language models (LLMs), Generative AI, and Agentic AI. Have a direct impact on millions of users and advertisers by delivering robust and scalable solutions that improve advertising experiences and business outcomes.

This role is part of Microsoft AI Experiences - Monetization team and is responsible for solving end-to-end machine learning and optimization problems across our ads products.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

AI Experiences employees who live within a 50- mile commute of a designated Microsoft Hub in the U.S. are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

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+…