Principal Applied Scientist - Auction & Bidding
Microsoft Redmond, WA Full-time 3/31/2026 $139,900 - $304,200 a year
Master's with 2+ Years of ExperiencePhD Entry-Level
Approval 98.4%•Total filings 6,363•New hires 3,142•
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•FY 2025Job Description
The Ads Monetization Algo team at Microsoft Advertising is seeking a highly skilled applied scientist to optimize ad performance through algorithm development and experimental analysis. The role involves designing bidding strategies, auction mechanisms, and automation algorithms to enhance advertisers' return on investment and improve the marketplace's health.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience
- OR equivalent experience
- 8+ years of experience developing and deploying live production systems, as part of a product team
- 3 Years of experience in Auto-Bidding or Auction Design
Responsibilities
- Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory
- Designing, prototyping, and analyzing different auction mechanisms given specific product area
- Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning
- Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers’ return on investment
- Implementing methods for optimizing the marketplace at the large scale
- Developing models for causal reasoning using techniques from AI, ML, and statistics
Benefits
- Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.
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