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Sr. Staff Machine Learning Engineer, Content Ecosystem

1 week, 5 days ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
LLM Machine Learning Reinforcement Learning SQL
Apply Now
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010
View All Jobs 82

Description

  • Set technical strategy and vision for ML systems that improve the end-to-end content ecosystem across supply, distribution, and engagement outcomes.
  • Partner with data science teams to define measurement frameworks for content health and performance, aligned to business goals.
  • Build models and insights to identify content gaps and explain what content is missing, for whom, in which contexts, and why.
  • Use causal thinking, experimentation, and model interpretability to understand what content works and how it affects downstream outcomes.
  • Design and optimize content marketplace mechanisms that balance incentives and constraints across users, creators, advertisers, and safety requirements.
  • Develop multi-objective optimization approaches that trade off relevance, quality, diversity, creator incentives, integrity, and monetization.
  • Collaborate with cross-functional teams including Product, Data Science, UX Research, Creator teams, Trust & Safety, Ads, and Infra to turn ambiguous problems into technical roadmaps.
  • Mentor and develop junior ML engineers through coaching, design reviews, and career development support.
  • Raise ML engineering standards through best practices for data quality, model governance, reliability, privacy-aware design, and operational excellence.
  • Communicate technical proposals clearly and influence stakeholders across organizational boundaries to drive decisions and measurable impact.

Requirements

  • Strong fundamentals in machine learning and optimization applied to large-scale ecosystem problems.
  • Demonstrated ability to lead technical strategy, navigate ambiguity, and deliver end-to-end impact.
  • Deep interest in marketplace dynamics, multi-sided incentives, feedback loops, and long-term health metrics.
  • Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and workflow acceleration.
  • Background in game theory, reinforcement learning, mechanism design, or causal inference applied to ecosystems or marketplaces is a plus.
  • Degree in Computer Science, Engineering, a related field, or equivalent experience.
  • Ability to work in a role with no relocation assistance.
  • Ability to travel to the office for in-person collaboration 1-2 times every 6 months.
  • US-based applicants only for the posted salary range.

Benefits

  • Base salary range of $227,871 to $469,147 USD for US-based applicants.
  • Eligible for equity.
  • Flexible PinFlex working model with a largely remote setup.
  • In-office collaboration required only 1-2 times every 6 months.
  • Work in an inclusive, equitable, and inspiring environment.
  • Access to Pinterest culture and benefits information for the role.

Interested in this position?

Apply directly on the company website

Apply Now

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