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Machine Learning Engineer

Wiraa

$208,145 - $364,254
Sep 30, 2025
Remote, US
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Pinterest is seeking to ensure that its AI systems are fair, ethical, and aligned with societal values, by identifying, avoiding, and mitigating bias across a wide range of ML applications, including generative AI.

Requirements

  • Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • Extensive experience applying advanced ML methods to production systems with a focus on fairness, ethics, and societal considerations
  • Deep familiarity with cutting-edge ML architectures such as transformer-based models, large language models (LLMs), and 2-tower architectures
  • Proven ability to measure, deploy, and refine fairness interventions and broader responsible AI solutions at scale
  • Strong understanding of system architecture, data pipelines, and model deployment workflows for high-traffic platforms
  • Experience in shaping and executing large-scale technical roadmaps with clear OKRs
  • Excellent mentorship skills and ability to collaborate effectively across teams

Responsibilities

  • Lead projects to identify, mitigate, and avoid bias in ML applications, including generative AI, at Pinterest
  • Collaborate with engineering teams such as trust and safety, user modeling, and content understanding to integrate responsible AI practices
  • Develop and deploy fairness and bias mitigation tools and interventions at scale
  • Mentor junior engineers and promote best practices in responsible AI across the organization
  • Work with senior leadership to define and drive the technical strategy for responsible AI initiatives
  • Evaluate and refine AI models to ensure ethical standards and societal considerations are met
  • Publish research findings and contribute to the broader AI community through conferences and publications

Other

  • Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • 5+ years of experience working in engineering teams that develop large-scale ML-driven user-facing products
  • 2+ years of experience leading cross-team engineering efforts
  • Excellent mentorship skills and ability to collaborate effectively across teams
  • Equal Opportunity employer, committed to creating an inclusive environment for all employees and applicants