Machine Learning Engineer, tvScientific

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

Compensation:

$123,696—$254,667 USD

Responsibilities:

• 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.
• Utilize LLMs and generative AI to enhance ML workflows.
• Validate ML model deployments through simulation.
• Define technical direction and mentor team engineers.

Requirements:

• Strong production Python skills and experience in simulation or modeling systems.
• Deep understanding of probabilistic modeling and auction theory.
• Hands-on experience with modern AI tools.
• Ability to translate business questions into simulation frameworks.
• Clear written communication skills.
• Ownership of end-to-end system design and implementation.

Nice-to-Haves:

• Causal inference and uplift modeling experience.
• Experience with discrete event simulation and reinforcement learning.
• Big data experience with Scala and Spark.
• MLOps experience on AWS.