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Software Engineer, tvScientific

1 month, 2 weeks ago
United States
Full-time
Senior
Software Engineer
Software Development
Apache Spark AWS C C++ LLM MLOps Python Reinforcement Learning Rust Scala Zig
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

  • Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition.
  • Develop counterfactual and what-if frameworks for evaluating 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 bidding and optimization strategies before they reach live traffic.
  • Define the technical direction for simulation and AI infrastructure and mentor engineers on the team.
  • Translate business questions into rigorous simulation frameworks and modeling approaches.
  • Scope, design, and ship systems end-to-end with minimal direction.

Requirements

  • Systems programming experience in Zig or similar languages 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 translate business questions into rigorous simulation frameworks.
  • Clear written communication and the ability to bring others along on new technical directions.
  • Demonstrated ownership to scope, design, and ship systems end-to-end with minimal direction.
  • Demonstrated ability to use AI to improve speed and quality in day-to-day workflow for relevant outputs.
  • Strong track record of critical evaluation and verification of AI-assisted work, including testing, source-checking, data validation, and peer review.
  • High integrity and accountability, including protecting sensitive data and avoiding over-reliance on AI.
  • Nice to have: strong production Python skills and experience building simulation or modeling systems.
  • Nice to have: causal inference experience, including uplift modeling, synthetic controls, difference-in-differences, or incrementality testing.
  • Nice to have: experience with discrete event simulation, Monte Carlo methods, or digital twins.
  • Nice to have: reinforcement learning experience using simulated environments for policy learning and evaluation.
  • Nice to have: experience building agentic AI systems or multi-agent simulations.
  • Nice to have: big data experience with Scala and Spark.
  • Nice to have: MLOps experience with model deployment, monitoring, and pipeline orchestration on AWS.

Benefits

  • Base salary range of $123,696 to $254,667 USD for US-based applicants.
  • Eligible for equity.
  • Remote-friendly working model indicated by the #LI-REMOTE designation.
  • Relocation assistance is not provided for this role.
  • Access to Pinterest culture and benefits information through the company careers site.

Interested in this position?

Apply directly on the company website

Apply Now

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