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Senior

Sr. MLE, Responsible AI at Pinterest — bias mitigation and Gen AI safety across a 550M-user recommender platform

This role sits on Pinterest's Advanced Technologies Group, driving fairness, safety, and alignment work across Gen AI evaluation, foundation model fine-tuning, and Red Teaming that touches Search, Homefeed, and Content Understanding. It calls for 4+ years shipping large-scale ML-driven products plus at least a year leading cross-team engineering efforts, with a Master's or PhD expected. Strong fits can speak concretely to fairness interventions they've deployed at scale and to leading horizontal initiatives across engineering orgs.

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What this interview tests

  • Bias detection and mitigation in production ML systems (fairness interventions at scale)
  • Gen AI product evaluation, foundation model safety fine-tuning, and alignment
  • Red Teaming methodology for generative models
  • Transformer, two-tower, LLM/VLM architectures in large-scale search and recommender systems
  • Cross-team technical leadership and driving Responsible AI adoption across engineering orgs
  • Mentoring junior engineers on Responsible AI practices

Common question themes

Describe a fairness intervention you shipped and how you measured its impact against the primary product metric

How would you design a Red Teaming process for a new generative feature before launch

Walk through evaluating a foundation model for bias before fine-tuning it for a specific product surface

Tell me about a time you led a cross-team initiative without direct authority over the other teams

How do you balance fairness constraints against ranking quality in a large-scale recommender system

Describe mentoring a junior engineer through a Responsible AI problem

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