We believe Medical Intelligence is the next frontier in AI. Come help us define and build it.
We're a team of healthcare product builders, data scientists, and AI/ML engineers, backed by leading venture investors, cash flow positive, and growing 100% MoM.
We're looking for a cracked, based ML Engineer that wants to answer tough questions and make a major dent in our broken healthcare system.
You’re a great fit if you want to answer tough questions like -
- What is the best architecture for improving QA from our models? What should we test first?
- How should we improve our multimodal capabilities?
- What if we created our own medical benchmarks?
- How should we measure and communicate explainability and interpretability of our model?
- How do we deploy our model on prem? Is it capable of running on the edge? When should we be building in observability?
You are -
- Experienced AI/ML Engineer - you’ve trained or fine-tuned models before and are comfortable navigating and iterating in today’s fast-paced environment
- Educated - you have the educational base to research and build the above. A lot of the time this means at least some graduate training
- Interested in Leadership - this means you either want to become a Head of / Manager one day OR are comfortable remaining an IC but want to build significant leadership in our selected research fields
What we offer -
- Competitive Salary - $175,000+
- Meaningful Equity - 3%+
- Benefits - Flexible benefits to fit your current and future life
We’re interested in working in-person on average 50% of the time in either SF or NYC - that probably means 3-4 days every other week, giving you chunks of time to do deep thinking.
Must be authorized to work in the US and already located within commuting distance of SF or NYC.