Founding Machine Learning Engineer

Join a promising seed-stage startup at the intersection of healthcare and artificial intelligence as their Founding Machine Learning Engineer. Founded in 2023 and backed by prestigious investors including First Minute Capital, Maverick, and Top Harvest Capital, along with angel investors from successful companies like Datadog, Okin, and Front.

The role offers an exceptional opportunity to shape the future of healthcare technology through AI innovation. You'll be instrumental in developing a cutting-edge platform that leverages advanced ML techniques, including Retrieval-Augmented Generation (RAG), to automate complex healthcare workflows. As a founding engineer, your decisions and contributions will have a direct impact on the company's technical foundation and future growth.

The ideal candidate brings 5+ years of ML and software development experience, with strong expertise in Python and modern ML libraries. You'll work with technologies including TypeScript, AWS, ML/NLP, graphRAG, and MedBert. This position is perfect for someone who thrives in fast-paced startup environments and wants to be part of building something transformative from the ground up.

Beyond competitive compensation ($140K-$200K plus meaningful equity), you'll get to work closely with visionary founders and have significant influence over the company's direction. The role is based in San Francisco, offering the chance to work in one of the world's leading tech hubs while building technology that could revolutionize healthcare operations.

If you're passionate about pushing the boundaries of AI technology, want to make a real impact in healthcare, and are excited about the challenges and rewards of early-stage startup life, this role presents an unparalleled opportunity to be part of what could become the next decacorn in the health tech space.