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Machine Learning Engineer

Wiraa

$208,145 - $364,254
Oct 25, 2025
Remote, US
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Pinterest is looking to solve the problem of bias in machine learning applications and ensure that AI-driven features are fair, ethical, and aligned with its core values.

Requirements

  • Deep familiarity with cutting-edge ML architectures such as transformer models, large language models, and multi-tower architectures
  • Proven track record in deploying fairness, ethics, and responsible AI solutions at scale
  • Strong understanding of system architecture, data pipelines, and model deployment workflows
  • Experience in measuring, evaluating, and refining fairness interventions and bias mitigation strategies
  • At least 2 years of experience leading cross-team engineering initiatives
  • 5+ years of experience applying advanced machine learning methods to production systems

Responsibilities

  • Lead and drive projects focused on responsible AI, including bias detection, mitigation, and fairness interventions across Pinterest’s ML applications
  • Collaborate with engineering teams such as trust and safety, user modeling, and content understanding to integrate responsible AI practices into their platforms
  • Develop and implement scalable fairness and bias mitigation techniques for large-scale, real-time systems
  • Mentor junior engineers and promote responsible AI principles across the organization
  • Define and influence the technical strategy for responsible AI initiatives, ensuring alignment with business goals and ethical standards
  • Research and publish in applied AI conferences to contribute to the broader responsible AI community
  • Champion the development of user-facing features that promote fairness and inclusivity, such as controllable skin tones and body type recognition

Other

  • Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields
  • Excellent problem-solving and collaboration skills with the ability to mentor junior engineers
  • 5+ years of experience applying advanced machine learning methods to production systems
  • At least 2 years of experience leading cross-team engineering initiatives
  • Equal opportunity employer committed to fostering an inclusive environment for all employees