Machine Learning Engineer

Machine Learning Engineer – San Francisco, CA

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

This is an opportunity to work on real-time optimization systems that directly manage and allocate significant advertising budgets using data-driven decision making.

What You’ll Be Doing:

• Develop and improve value prediction models to forecast customer lifetime value (LTV)
• Support the build-out of budget allocation and bidding optimization systems
• Integrate with advertising platform APIs (Meta, Google, TikTok) to help automate bid and budget updates
• Contribute across the model lifecycle - from experimentation and validation to deployment and monitoring
• Assist in building simulation and backtesting frameworks to evaluate strategies
• Monitor model performance and help detect drift as market conditions evolve

What We’re Looking For:

• 2+ years of experience building and deploying machine learning models in production environments
• Strong understanding of core ML techniques (regression, classification, tree-based models, etc.)
• Familiarity with optimization concepts and experimentation frameworks
• Ability to translate business problems into measurable ML solutions
• Experience writing production-ready code that handles scale, edge cases, and failures
• Exposure to APIs and data pipelines in real-world systems

What’s in It for You:

• $150K–$200K base salary plus meaningful equity in a well-funded startup
• Opportunity to work on high-impact systems managing significant ad spend
• Clear growth path into senior and leadership roles
• Daily meals, comprehensive benefits, unlimited PTO

Apply now immediate consideration!