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Principal Applied Scientist - Ads Ranking & Retrieval

Microsoft· Applied Sciences
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BangaloreFull-timePosted 4w ago

About the role

Role focused on leading AI Economy Trust & Safety detection problems, building models and taking them to production to support AI Economy access decisions and mitigate abuse.

Responsibilities

  • Lead the AI Economy Trust & Safety project end to end, including problem definition, execution planning, technical reviews, production rollout and measurement.
  • Own the identity-resolution and clustering approach used to connect accounts, tenants and payment instruments to common actors.
  • Own applicant-risk and ongoing account-risk models, including the evidence used for initial decisions and subsequent reassessment.
  • Develop detection methods that distinguish legitimate high-volume use from coordinated extraction and other abusive behavior.
  • Select and evaluate machine learning approaches, including supervised learning, anomaly detection, graph methods, sequence models and large language models.
  • Establish the evaluation framework for model quality, calibration, false-positive impact, drift, explainability and adversarial robustness, and maintain the associated threat model.
  • Work with product and engineering counterparts on the AI Economy team to translate detection findings into product controls, and coordinate with privacy, legal and external dependency owners.

Qualifications

  • Bachelor'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 Master'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 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.

Skills

Required:problem framing and end-to-end project leadershipidentity-resolution and clusteringrisk modeling (applicant and account)detection methods for abuse vs legitimate usemachine learning approaches

Benefits

  • Not specified in the description.
Last updated Sep 24, 2026. Interested? Apply on the company site.

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