PI

Director, Machine Learning Engineering – Content & User Understanding

pinterest· 188 open roles

Remote RemoteFull-time4 days ago
Salary
$267,393 - $550,515
Experience
Mid
Job Type
Full-time
Posted
4 days ago
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About This Role

Pinterest is seeking a Director of Machine Learning Engineering to lead the Content and User Understanding team, defining the long-term ML vision and technical strategy for building company-wide content and user understanding ML models and systems. This leader will oversee multiple teams of machine learning and backend engineers and managers, combining deep technical expertise with strong people leadership and product instincts. The role involves driving state-of-art innovation in VLM and LLM-based approaches and ensuring the foundational content and user understanding models and systems are effective and scalable. The Director will also build and scale a world-class ML organization and act as the primary technical spokesperson for Content and User Understanding to executive leadership and external partners.

Key ResponsibilitiesAI-extracted

  • 1
    Lead ML strategy and innovation for foundational content and user understanding, setting the multi-year vision and technical strategy
  • 2
    Drive innovation of cutting-edge AI approaches, including large scale sequence modeling, VLM and LLM
  • 3
    Ensure the foundational content and user understanding models and systems are effective and scalable to power downstream applications
  • 4
    Collaborate with Product, Engineering, and Data Science leaders to translate foundational ML techniques into significant business impact
  • 5
    Build and scale a world-class ML organization, managing, hiring, and developing a team of high-performing managers and ML engineers

RequirementsAI-extracted

  • 12+ years of professional experience as a technical leader, including 5+ years in people leadership roles
  • Bachelor's/Master's degree in a relevant field such as computer science, or equivalent experience
  • Deep ML expertise: building and operating large-scale ML systems in recommendation, ads or search
  • Expertise in large scale deep learning, VLM and LLM approaches
  • Track record of setting long-term technical vision and leading teams to deliver top-line business impacts

Perks & BenefitsAI-extracted

Typically: health coverage
Typically: paid time off
Typically: retirement savings plan
Typically: flexible work arrangements
Equity eligibility

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