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Senior Applied Scientist - Ads Ranking & Retrieval

Microsoft· Applied Sciences
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Bangalorefull-timePosted 4w ago

About the role

Senior Applied Scientist role in the AI Economy Trust & Safety team at Microsoft, building detection models to protect a large-scale developer-facing platform from fraud and abuse, including identity clustering, applicant risk, and behavioral detection for active accounts, with emphasis on sparse/noisy labels and rigorous evaluation.

Responsibilities

  • Develop and productionize identity-clustering models using similarity, graph, linkage and embedding methods.
  • Develop applicant-risk models using structured and unstructured identity, business and behavioral signals.
  • Build behavioral detection for active accounts using sequence modeling, anomaly detection, query-distribution analysis and cross-account signals.
  • Train, tune and validate detection models, including feature engineering and adversarial testing of attacker-controlled inputs.
  • Address weak supervision, delayed and noisy labels, class imbalance, model calibration, operating-point selection and drift.
  • Investigate live abuse patterns, conduct offline and online experiments, and turn findings into reusable detections and measurable coverage improvements.
  • Work with product and engineering counterparts on the WebIQ team to productionize model decisions, and provide technical analysis for privacy and legal reviews.

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 related field AND 3+ years related experience OR Doctorate in related field AND 1+ year(s) related experience OR equivalent experience.

Skills

Required:Statistical modelingMachine learning
Nice to have:Graph / embedding methods
Last updated Sep 24, 2026. Interested? Apply on the company site.

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