Machine Learning Engineer
GW326
Posted: 03/03/2026
- $150,000-$250,000
- San Francisco, CA
- Permanent
About the job
💡 What if your next role let you design the algorithms and trading systems that autonomously deploy millions in ad spend?
🚀 Our client — a venture-backed AI startup at the intersection of quant finance and digital advertising — is hiring a Member of Technical Staff, Machine Learning & Optimization (San Francisco).
They’re building the AI Operator for growth — applying high-frequency trading rigor to digital ad markets and delivering 20–50% efficiency gains for global brands.
The role:
🔧 Design value models predicting LTV and risk-aware optimizers allocating budget across channels
📈 Translate market inefficiencies into automated trading strategies
🔌 Build real-time API integrations with Meta, Google, and TikTok to execute bids and budget updates
🧠 Develop detection systems to identify creative fatigue and performance drift
⚙️ Own the ML lifecycle from notebook to production, including observability and monitoring
🧪 Build backtesting and simulation infrastructure to validate strategies before capital deployment
Why join?
🌎 High-ownership role on a lean, elite team at a true inflection point
💰 $160k–$250k salary + significant equity
📊 Apply quant-level rigor to one of the largest global markets in the world
🤝 Work directly with founders to build the core financial brain of the company
📩 Interested? Apply now!
Jack Smith
Researcher