Founding AI/ML Engineer

We're hiring a researcher/engineer to solve deep AI challenges. Join us in building state-of-the-art agent systems for previously unsolved domains. You'll work on diverse AI challenges that push the boundaries of what's possible with current models. Your mission: Work on building and constantly improving a SOTA Agent for our domain Design robust learning pipelines (e.

g. RLHF, RL) and build any custom environments needed for feedback signal Set up a durable eval strategy Train smaller models for scoped tasks Leverage a variety of open source text and image models Stay abreast of research — we will have budget for you to attend conferences Shape our technical and hiring strategy alongside the founding team You: Have experience with AI agents, RLHF or reinforcement learning (even in academic projects/internships) Are extremely comfortable in Python and ML frameworks Have a builder mindset, whether through research projects, internships, side projects, or production systems Can make independent progress on shipping user-facing features (Bonus) Have an advanced degree (Bonus) Have started a company or been early at a startup A note on seniority: We believe in slope over y intercept, and are open to a broad range of experiences and seniority.

Why us? Learning & Growth: Direct mentorship from founders who've built Dover (raised $23M) and Heap ($960M valuation, acquired). You'll learn how to build and scale transformative products from people who've done it. Impact: The team is small and will stay small. We aspire to a very high revenue to headcount ratio. Every engineer directly shapes the product and company trajectory.

No layers, no politics, just building. Ownership: We're a high-trust environment where you'll own significant projects from day one, with support when you need it. Ambition: We're redefining who can use design tools and how they work, with a massive potential audience and the technical challenges to match. Speed: We move incredibly quickly.

You'll ship more in a month here than most engineers ship in a year.