Sr. Machine Learning Engineer, tvScientific

Pinterest is a platform where millions of people find creative ideas. tvScientific is a CTV advertising platform purpose-built for performance marketers, combining media buying, optimization, measurement, and attribution.

As a Sr. Machine Learning Engineer at tvScientific, you'll build ML and AI systems for the Connected TV ad-buying platform, including real-time bidding, campaign optimization, and incrementality measurement.

• Write production Python for real-time bidding, model training, and campaign optimization
• Train, deploy, and monitor ML models for ad decisions
• Build incrementality measurement systems
• Design and implement ML products across the ad-buying lifecycle
• Use LLMs and generative AI for internal tools
• Serve as technical lead and mentor

• Strong production Python skills
• Solid statistics and ML fundamentals
• Familiarity with modern AI tools
• Adtech or CTV experience
• Clear written communication
• Comfort with ambiguity
• Bachelor's degree in CS, Math, Engineering, or equivalent
• 4+ years of industry experience

• Experience with AI coding assistants (Cursor, Copilot, Codex)
• LLM-powered productivity tools
• Causal inference
• Big data with Scala and Spark
• Systems programming in Zig, C, C++, Rust
• Reinforcement learning or bandit algorithms
• Agentic AI systems
• MLOps experience on AWS

Compensation: $155,584—$320,320 USD, plus equity. This position is not eligible for relocation assistance.