Machine Learning Engineer, tvScientific at Pinterest

San Francisco, CA, US; Remote, US·23h ago

Mid LevelFull-timePythonRustC++AWSMachine LearningGitAIML

Salary Range

$102,000 - $138,000 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Machine Learning Engineer to join our team at Pinterest. This role focuses on building simulation and AI capabilities to model the CTV advertising ecosystem and develop AI-driven tools that accelerate ML system development.

Key Responsibilities

→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 LLMs and generative AI to accelerate internal ML workflows — synthetic data generation, code generation, automated analysis, and rapid prototyping
→Use simulation to de-risk ML model deployments — validate new bidding and optimization strategies before they touch live traffic
→Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

Requirements

✓Strong production Python skills and experience building simulation or modeling systems
✓Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
✓Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows — and good judgment about when they help vs. when they don't
✓Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
✓Ability to translate business questions into rigorous simulation frameworks
✓Clear written communication: you'll be defining new technical directions and need to bring others along
✓Ownership: you scope, design, and ship systems end-to-end with minimal direction