Building autonomous AI workers that replace the entire media buying stack for marketing teams.
AI Engineer — Learn Engine: Intelligence & Optimization
We’re assembling the Learn Engine — the brain that watches every dollar spent across paid channels and continuously retrains our agents to bid, target, and allocate better than any human media buyer could. This isn’t a thin wrapper on an LLM; it’s a feedback loop that fuses causal inference, reinforcement learning, and high-throughput experimentation into a system that gets smarter with every impression. You’ll design the optimization surfaces that decide where money flows, how creative gets matched to audiences, and when an autonomous worker should explore versus exploit. The work touches everything from auction dynamics to creative fatigue modeling, and ships daily into production pipelines that move real budget.
What they're looking for
- 3+ years building and shipping machine learning systems in production, ideally involving bidding, recommendations, or real-time optimization
- Deep fluency in Python and a strong instinct for clean, testable code managed through Git
- Comfort designing offline evaluation frameworks and online experiments that translate model improvements into measurable business outcomes
- Experience with reinforcement learning, causal inference, or bandit algorithms applied at scale
- A working understanding of the ad tech ecosystem — DSPs, auctions, attribution, and the incentives that shape them