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Sr. Machine Learning Engineer, tvScientific

2 hours, 41 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
Apache Spark AWS C C++ Generative AI LLM Machine Learning MLOps Python Reinforcement Learning Rust Scala Statistics 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 18

Description

  • Write production Python to support real-time bidding, model training, and campaign optimization.
  • Train, deploy, and monitor machine learning models that determine which ads to show, when to show them, and at what price.
  • Build and improve incrementality measurement systems to help advertisers understand causal lift from CTV spend.
  • Design and implement new ML products across the ad-buying lifecycle, including audience targeting, bid optimization, pacing, and attribution.
  • Use LLMs and generative AI to build internal tools that speed up ML development, testing, and shipping.
  • Serve as a technical lead and mentor on a distributed engineering team.
  • Own problems end-to-end in a fast-moving environment, from scoping through delivery.

Requirements

  • Strong production Python skills with experience writing code that runs in production.
  • Solid statistics and machine learning fundamentals, including experiment design and model evaluation.
  • Familiarity with modern AI tools and judgment about where they add value.
  • Adtech or CTV experience, including familiarity with RTB, programmatic advertising, or supply-path optimization.
  • Clear written communication skills for working effectively on a distributed team.
  • Comfort with ambiguity and the ability to own problems end-to-end.
  • Nice-to-have: teaching experience.
  • Nice-to-have: experience with causal inference methods such as uplift modeling, synthetic controls, difference-in-differences, or incrementality testing.
  • Nice-to-have: big data experience with Scala and Spark.
  • Nice-to-have: systems programming experience in Zig or similar languages such as C, C++, or Rust.
  • Nice-to-have: experience with reinforcement learning or bandit algorithms in production.
  • Nice-to-have: experience building agentic AI systems or LLM-powered workflows.
  • Nice-to-have: 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.
  • Remote-friendly working model via PinFlex, with in-office expectations varying by role and department.
  • Relocation assistance is not offered for this position.
  • 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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