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

Description

  • Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition.
  • Develop counterfactual and what-if frameworks to evaluate bidding strategies, budget allocation, and pacing algorithms offline.
  • Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments.
  • Use simulation to de-risk ML model deployments by validating new bidding and optimization strategies before they reach live traffic.
  • Define the technical direction for simulation and AI infrastructure.
  • Mentor engineers on the team.
  • Translate business questions into rigorous simulation frameworks.
  • Scope, design, and ship systems end to end with minimal direction.

Requirements

  • Systems programming experience in Zig or a similar language such as C, C++, or Rust.
  • Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation.
  • Hands-on experience with modern AI tools such as LLMs, code generation, and agentic workflows.
  • Adtech experience with RTB mechanics and programmatic advertising dynamics.
  • Ability to communicate clearly in writing and explain technical direction to others.
  • Demonstrated ownership in scoping, designing, and shipping systems end to end.
  • Ability to use AI to improve speed and quality in day-to-day work.
  • Strong critical evaluation and verification skills for AI-assisted work, including testing, source-checking, data validation, and peer review.
  • High integrity and accountability when handling sensitive data and making final decisions.
  • Preferred: strong production Python skills and experience building simulation or modeling systems.
  • Preferred: experience with causal inference, including uplift modeling, synthetic controls, difference-in-differences, or incrementality testing.
  • Preferred: experience with discrete event simulation, Monte Carlo methods, or digital twins.
  • Preferred: reinforcement learning experience using simulated environments for policy learning and evaluation.
  • Preferred: experience building agentic AI systems or multi-agent simulations.
  • Preferred: big data experience with Scala and Spark.
  • Preferred: MLOps experience with model deployment, monitoring, and pipeline orchestration on AWS.

Benefits

  • Base salary range of $155,584 to $320,320 USD for US-based applicants.
  • Eligible for equity.
  • Flexible working model through PinFlex.
  • Remote work designation for this role (#LI-REMOTE).
  • Relocation assistance is not provided for this position.
  • Access to Pinterest culture and benefits information for the role.
  • Inclusive, equitable, and inspiring workplace commitment.

Interested in this position?

Apply directly on the company website

Apply Now

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