Principal Applied Scientist (AI)

TL;DR

Principal Applied Scientist (AI): Designing, developing, and evaluating novel user identity graphs built in offline & NRT and online identity resolution techniques for user understanding within Microsoft Advertising. Focus on applying advanced techniques in natural language processing, deep learning, graph mining, and differential privacy to extract insights and value from data while preserving user trust and privacy.

Location: This is a hybrid role based in Redmond, WA or Mountain View, CA, United States, requiring at least four days per week in the office for employees within a 50-mile commute of a designated Microsoft office in the U.S.

Salary: USD $139,900 – $274,800 per year (for most U.S. locations) or USD $188,000 – $304,200 per year (for San Francisco Bay area and New York City metropolitan area).

Company

The Data Management Platform (DMP), part of hirify.global (MAI), builds and operates large-scale data pipelines, machine learning models, and APIs for user segmentation, targeting, personalization, and measurement for advertisers and publishers.

What you will do

• Conduct research and experimentation to design, develop, and evaluate novel user identity graph and online identity resolution techniques.
• Collaborate with product managers, engineers, and technical program managers to define requirements and deliver end-to-end solutions.
• Evaluate the quality of user identity resolution and build user graphs for various policies across the hirify.global organization.
• Track metrics, generate user identity cluster scores, and continuously improve the graph via experimentation.
• Serve as a team advocate on industry trends and apply this knowledge to influence product needs.
• Share research findings, collaborate with the academic community, and document work and experimentation results.

Requirements

• Required to be based in Redmond, WA or Mountain View, CA, United States.
• Bachelor’s Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience.
• OR Master’s Degree in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience.
• OR Doctorate in Statistics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience.
• 3+ years experience developing machine learning models and deploying them in live production systems, as part of a product team.

Nice to have

• 5+ years experience conducting research as part of a research program.
• 3+ years experience developing and deploying products or systems at multiple points in the product cycle.
• 1+ year of experience building models for User identity graph.
• 1+ year of experience with Ads related technologies.

Culture & Benefits

• Microsoft's mission is to empower every person and organization to achieve more, fostering a culture of inclusion, respect, integrity, and accountability.
• Growth mindset with innovation and collaboration to realize shared goals.
• Hybrid work model, requiring at least four days per week in the office for US employees within a 50-mile commute of a designated office.