Founding ML Engineer

$200,000 - $300,000 (depending on experience & skill-level) | San Francisco, CA | On-site Most ML roles ask you to fine-tune someone else's idea. This one asks you to build the thing that changes how professionals work entirely. Backed by Anthropic. The problem is hard, the team is exceptional, and the window to be a founding engineer on something like this doesn't stay open long. What you’ll work on Concretely, that means: Developing the systems that learn from user behaviour over time - making the autopilot genuinely smarter the more it’s used Owning decisions end-to-end: data pipelines, model architecture, eval frameworks, and production deployment Your commits ship to real users. Your architecture calls shape the product roadmap. This is the kind of role where research and engineering are the same job. Who we’re looking for Top 10% graduates from top 20 CS programs. Phi Beta Kappa honorees or equivalent. The kind of person who treated their thesis like a startup and left their internship with a paper idea. You’ve already shipped something in ML - at least one internship or a year in industry. You know what production looks like. You’ve felt the difference between a model that works in a notebook and one that holds up under real load. You likely have A CS degree from a top‑tier program - MIT, Stanford, CMU, Berkeley, Caltech, Cornell, UIUC, or equivalent At least one ML internship or 12+ months in industry Deep hands‑on experience with PyTorch and modern transformer architectures End‑to‑end comfort across data, training, eval, and deployment What you get $200,000 - $300,000 base + founding team equity - own a real piece of what you build Full medical, dental, and vision for you and your family Breakfast, lunch, dinner, snacks, and drinks on‑site daily A beautiful office in the heart of SF with a team that actually wants to be there Direct Anthropic backing - frontier model access and research relationships most companies will never have #J-18808-Ljbffr