Senior Machine Learning Engineer

TL;DR

Senior Machine Learning Engineer (AI): Design and build value prediction models and risk-aware optimizers for algorithmic trading in digital advertising with an accent on production ML systems and real-time API integrations. Focus on owning full model lifecycle from development to deployment, building simulation infrastructure for backtesting, and creating observability for performance monitoring and drift detection.

San Francisco, CA

$200,000-$275,000 plus significant equity

Company

Well-funded startup bringing algorithmic trading rigor to digital advertising by replacing traditional agencies with autonomous AI systems that optimize ad spend across platforms.

What you will do

• Design and build value prediction models that forecast customer LTV
• Create risk-aware optimizers that allocate budgets across channels
• Build execution layer integrating with Meta/Google/TikTok APIs for real-time bid and budget updates
• Own 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

Requirements

• 4+ years experience designing and deploying production optimization systems
• Understand when to use deep learning vs. classical ML
• Implement research papers but know when heuristics are better
• Ship production code handling scale, rate limits, and failure states

Culture & Benefits

• Up to $275K base plus significant equity
• Clear path to managing billions in ad spend
• Daily meals, comprehensive benefits, unlimited PTO