ML Research Engineer

Description

We're building the last healthcare company

In a world with AGI, only healthcare, entertainment, and compute will matter. Healthcare is both the most meaningful and the most broken. Premiums climb 15% a year, physicians are burning out, and patients have lost trust, even as new medicines such as immunotherapy & synthetic proteins make it possible to efficiently buy quality-adjusted life years (QALYs). An insurance system built to pay for catastrophe, on the premise that no one can know who will get sick, cannot deliver the future of medicine; it's no surprise their biggest priority is finding out how to deny more care. Misalignment runs through every layer. We believe it can only be fixed by owning all of healthcare. Medical superintelligence makes that possible for the first time. The company is a vertically integrated system where risk pricing, care delivery, and disease anticipation are redesigned from scratch around AI that administers the whole stack. We train AI systems to operate, insure, and deliver healthcare for new health plans. We are already seeing rapid organic adoption from employers, patients, and providers. The company is the only healthcare company where every gain in AI capability and every life added to our network compounds our advantage. We see a future where buying health insurance is replaced by buying health outcomes from the company.

You will join the founding team and will work directly with the two brothers: Rishab and Aditya Jain. Aditya earned his M.D. from Harvard Medical School and forwent a career in medicine to build the company. He was also a researcher at the Broad Institute. Rishab was named one of TIME’s 25 Most Influential Teens at 13, won the Regeneron ISEF top award, and led two companies to successful acquisition before leaving Harvard to co-found the company. We are building a founding team of world-class talent.

If you’re excited to solve some of the world’s biggest problems and build AI systems to power prescient healthcare, apply to join us.

Responsibilities

• Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and extreme resourcefulness to help us increase capacity and grow. We move fast and need to move faster.
• The models will do most of the work; your job is to build everything that lets them: the data, harnesses and tools, and infra. This is a founding role with an unprecedented level of ownership and agency. You will pick problems, own them end to end, and ship to production.
• We are looking for high agency, high slope individuals. Prior research experience (evidenced by publications or technical blogs) and/or MLE roles are preferred. Here is a preview into the work you will be doing:
• Build data pipelines and find new ways to tokenize and compress medical data;
• Design and execute pretraining runs on longitudinal patient data (Time Machine);
• Train our reinforcement learning system, Crystal;
• Own evals end to end;
• Ship models into prod with real patients. Your research will directly impact P&L;
• Set the research direction. You have an unlimited token budget, and a lot of compute available.

Requirements

• Experience: Any (new grads ok)
• Visa: US citizen/visa only

Benefits

• A generous cash base.
• Founding-team equity.
• The best health insurance you've ever had.
• Uber vouchers, DoorDash, Fitbits