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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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