Founding Machine Learning Engineer

Required

• 7+ years of software engineering experience, with 4+ years training and shipping production ML systems. Formal title matters less than the work.
• You've trained or fine-tuned models that went to production and moved a metric customers cared about, not just a leaderboard number.
• Expertise in production agent systems: harnesses, memory, skills, tool use, and sub-agents. You know the nuances well enough to help decide what we build, and have intuition about what will actually work before we build it.
• Know how and when fine-tuning works and how to apply it. What data is needed, and how to derive it from what raw data telemetry gives you.
• Evals you'd defend in a review. You have the statistics fluency to say whether a small delta is real or noise.
• You've deployed models under real constraints like tight latency budgets, limited GPUs, or someone else's infrastructure (vLLM, ONNX, TensorRT, llama.cpp, or equivalent).
• Strong Python for training and ML work, plus TypeScript or Go for the production services that serve your models.
• You pick the stack, write the doc, and can still defend the decision a year later.
• A do-er, not a researcher-in-residence. You'd rather ship a working v0.5 next week than a polished v2.0 next quarter.
• Comfort with ambiguity: early team, a charter that will expand, decisions made with incomplete data.
• An insatiable desire to ship.