About the Role

We are looking for engineers capable of working across the company on whatever the most important problem is to move our platform forward. This is a taste of the areas that we may tackle:

- Compute infrastructure provisioning and optimization for AI science and model training.

- Scientific code and research engineering for accelerating scientific progress.

- Large scale AI model inference and tooling.

- Data warehousing and transport for large biological datasets.

- Lab information management and automation engineering.

We are a small, pragmatic team and you will find yourself:

- Collaborating with world experts in AI and Life sciences regularly.

- Shipping code daily, with a culture of learning from mistakes and iterating quickly.

- Being expected and empowered to work autonomously.

We welcome candidates with diverse backgrounds and experiences and will consider strong candidates at all levels.

Minimum Qualifications

· 5 years of experience as a software engineer or related position

· Prior experience developing machine learning systems (training and inference) · The ability to learn the ins and outs of an industry and tailor software solutions to fit

Preferred Qualifications

· Prior experience in the biotech/life sciences industry

· Prior experience developing data warehousing solutions

· Experience with cloud infrastructure deployment

If you are excited about joining a dynamic start-up environment, with the possibility of accelerating an entirely new set of capabilities in biology and saving lives in the process, please apply – we would love to hear from you!