Senior ML Engineer & Technical Lead, Real-Time AdTech AI

Pinterest

United States

On-site

USD 156,000 - 320,000

Full time

14 days+
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Job summary

tvScientific is seeking a Sr. Machine Learning Engineer to build ML/AI systems for its Connected TV ad-buying platform. You will influence real-time bidding, campaign optimization, and incrementality measurement at scale, touching audience targeting, bid optimization, pacing, and attribution.

You will mentor a distributed engineering team, leverage LLMs to accelerate development, and work on evaluating and deploying AI-driven products in a fast-paced advertising tech environment.

Qualifications

  • Strong production Python skills and experience deploying in prod.
  • Solid statistics and ML fundamentals; understand experiment design and model evaluation.
  • Familiar with modern AI tools and judgment on their value.
  • Adtech or CTV experience: RTB, programmatic ad buying, measurement.
  • Clear written communication for a distributed team.
  • Ability to own problems end-to-end in a fast-moving environment.
  • Bachelor's degree in Computer Science, Mathematics, Engineering or related field; 4+ years of experience.

Responsibilities

  • Write production Python that powers real-time bidding, model training, and campaign optimization.
  • Train, deploy, and monitor ML models that decide which ads to show at scale.
  • Build and improve incrementality measurement systems for advertiser insights.
  • Design and implement ML products across the ad-buying lifecycle: targeting, bidding, pacing, attribution.
  • Use LLMs and AI to build internal tools that accelerate development, testing, and deployment.
  • Serve as a technical lead and mentor on a distributed engineering team.

Skills

Production Python
Statistics
ML fundamentals
AI tools familiarity
Adtech/CTV experience
Written communication
Ambiguity tolerance
4+ years of industry experience

Education

Bachelor's degree in CS/Math/Engineering or related field

Tools

Cursor
Copilot
Codex
Scala
Spark
C/C++/Rust

Job description

tvScientific is seeking a Sr. Machine Learning Engineer to build ML/AI systems for its Connected TV ad-buying platform. You will influence real-time bidding, campaign optimization, and incrementality measurement at scale, touching audience targeting, bid optimization, pacing, and attribution.

You will mentor a distributed engineering team, leverage LLMs to accelerate development, and work on evaluating and deploying AI-driven products in a fast-paced advertising tech environment.

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