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Senior Machine Learning Engineer

Acceler8

US · On-site Full-time Senior 2w ago

About the role

About the job

Senior Machine Learning Engineer - San Francisco, CA

A company that is bringing algorithmic trading rigor to digital advertising, replacing traditional agencies with AI systems that autonomously optimize ad spend across platforms are looking for a Machine Learning Engineer to join their team.

Requirements

  • Senior ML engineer with 4+ years experience designing and deploying production optimization systems
  • Understand when to use deep learning vs. classical ML
  • Can implement research papers but know when a heuristic is better
  • Ship production code that handles scale, rate limits, and failure states

Responsibilities

  • Design and build value prediction models that forecast customer LTV
  • Create risk-aware optimizers that allocate budgets across channels
  • Build the execution layer that integrates with Meta/Google/TikTok APIs to update bids and budgets in real-time
  • Own the full model lifecycle from development to production
  • Build simulation infrastructure to backtest strategies before deploying capital
  • Create observability systems to monitor performance and detect drift as market conditions change

Compensation

  • up to $275K plus significant equity in a well-funded startup
  • Clear path to managing billions in ad spend
  • Daily meals, comprehensive benefits, unlimited PTO

Application

Apply now for immediate consideration!

Requirements

  • Senior ML engineer with 4+ years experience designing and deploying production optimization systems
  • Understand when to use deep learning vs. classical ML
  • Can implement research papers but know when a heuristic is better
  • Ship production code that handles scale, rate limits, and failure states

Responsibilities

  • Design and build value prediction models that forecast customer LTV
  • Create risk-aware optimizers that allocate budgets across channels
  • Build the execution layer that integrates with Meta/Google/TikTok APIs to update bids and budgets in real-time
  • Own the full model lifecycle from development to production
  • Build simulation infrastructure to backtest strategies before deploying capital
  • Create observability systems to monitor performance and detect drift as market conditions change

Benefits

mealscomprehensive benefitsunlimited PTO

Skills

classical MLdeep learningMeta APIGoogle APITikTok API

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