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Sr. Machine Learning Engineer

1 hour, 46 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
tvScientific

tvScientific

tvScientific offers a pioneering Connected TV advertising and marketing platform that integrates traditional television's impact with the effectiveness of digital advertising, specifically tailored for performance marketers.

Media
11-50
Founded 2020
$22M raised
View All Jobs 11

Description

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

Requirements

  • Strong production Python skills with the ability to write code that runs in production.
  • Solid statistics and machine learning fundamentals, including experiment design and model evaluation.
  • Familiarity with modern AI tools and sound judgment about when they add value.
  • Experience in adtech or CTV, including RTB, programmatic advertising, or supply-path optimization.
  • Clear written communication skills for a distributed team.
  • Comfort with ambiguity and end-to-end ownership.
  • Teaching experience is a plus.
  • Experience with causal inference methods such as uplift modeling, synthetic controls, difference-in-differences, or incrementality testing is a plus.
  • Big data experience with Scala and Spark is a plus.
  • Systems programming experience in Zig or similar languages such as C, C++, or Rust is a plus.
  • Reinforcement learning or bandit algorithms in production is a plus.
  • Experience building agentic AI systems or LLM-powered workflows is a plus.
  • MLOps experience with model deployment, monitoring, and pipeline orchestration on AWS is a plus.

Benefits

  • Base salary range of $155,584 to $320,320 USD for US-based applicants.
  • Eligible for equity.
  • Remote-friendly working model with PinFlex.
  • No relocation assistance is provided for this role.

Interested in this position?

Apply directly on the company website

Apply Now

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