Product Engineer

I quit medicine because I kept watching patients die needlessly, for avoidable reasons. In almost every case, the science and the clinicians were fine. It was the system around them that failed: the way information moved, the way decisions got routed, and the way fragmented teams and fragmented data turned solvable problems into tragedy.

Our mission is human wellbeing, and we're focusing on the breakthrough technology of personalised medicine. Since the beginning, our proprietary insight has always been that the company to create a true active learning data engine with a loss function against human wellbeing would be the one to crack it, becoming one of the most impactful companies in the world as a result.

We're now in 1,100+ clinics, across 4 product lines, serve >20% of the UK population, and have solved >5.7 million patient cases in the past 12 months alone, saving an estimated 8,600 lives. We are cash flow positive, growing fast, and have a tight crew of ~35 people.

Multiple trillion-dollar companies will be built in healthcare over the next two decades, and we intend to be one of them.

We have a knights of the round table culture with a flat hierarchy, where we empower builders to have outsized impact on millions of lives, and where we collaboratively converge on the optimal action without dogma or ego. We're all here to serve a greater mission than ourselves. The closest analogy for our culture is probably Firefly (the TV series): a small crew on a ship at the frontier, each person exceptional in a specific way, deeply loyal to each other and the mission, resourceful under constraints, and having a genuinely good time doing something that matters. We're carefully curated, lean, and wholeheartedly in.

If you want your skills to be at the highest possible stakes, you belong at Anima. Your work here will save lives.

- Shun

Long before the "vertical AI" craze, we were obsessed with active reinforcement learning—a niche field in 2021 that the world, pre-ChatGPT, largely ignored.

Our trajectory has been unwavering since our YC application: achieving the "holy grail" of personalized medicine and deep phenotyping. This is powered by our proprietary active learning architecture - a system we codified in a 2021 patent that anticipated the Sparse Mixture of Experts (MoE) and active learning loops now foundational to modern LLMs.

While others are just arriving at the party, we’ve spent years executing a plan to build what is now one of the world’s largest, highest-quality labeled datasets.

We’re looking for someone who

• Has a track record of relentless shipping.

• Has proven ability to navigate ambiguity and tackle novel technical challenges from conception to production.