Machine Learning Engineer, tvScientific

This role is based in San Francisco with remote options available.

Compensation:

$123,696—$254,667 USD

What you'll do:

• Design and build simulation environments for CTV auction mechanics.
• Develop frameworks for evaluating bidding strategies and budget allocation.
• Build AI agents for strategy exploration and automate experimentation.
• Use LLMs and generative AI to enhance ML workflows.
• Define technical direction for simulation and AI infrastructure.

Requirements:

• Strong production Python skills.
• Experience with probabilistic modeling and simulation systems.
• Understanding of auction theory and programmatic advertising.
• Ability to translate business questions into simulation frameworks.
• Clear written communication and ownership of projects.