tvScientific

Connected TV Advertising + Attribution Platform

Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 51-200Since 2020H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

11 days ago

Salary

$123.7K - $254.7K / year

Bachelor DegreeEnglishPython

Job Description

• Design and build simulation environments that model CTV auction mechanics, inventory supply, and advertiser competition • Develop counterfactual and what-if frameworks for evaluating bidding strategies, budget allocation, and pacing algorithms • Build AI agents that explore strategy spaces, generate hypotheses, and automate experimentation within simulated environments • Use LLMs and generative AI to accelerate internal ML workflows • Validate new bidding and optimization strategies before they touch live traffic • Define the technical direction for simulation and AI infrastructure and mentor engineers on the team

Job Requirements

  • Strong production Python skills and experience building simulation or modeling systems
  • Deep understanding of probabilistic modeling, stochastic processes, or agent-based simulation
  • Hands-on experience with modern AI tools: LLMs, code generation, agentic workflows
  • Adtech experience: you understand auction theory, RTB mechanics, and the dynamics of programmatic advertising
  • Ability to translate business questions into rigorous simulation frameworks
  • Clear written communication: you'll need to define new technical directions
  • Ownership: scope, design, and ship systems end-to-end with minimal direction
  • Nice-to-Haves: Causal inference; discrete event simulation; reinforcement learning; MLOps experience.

Benefits

  • Equity
  • Health insurance
  • Flexible work arrangements

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