Sphinx Bio — Founding Machine Learning Engineer

Sphinx’s mission is to empower research teams to make better decisions, faster. The next generation of biotech companies use Sphinx’s platform to design drugs, track experiments, and analyze data. Our platform builds on recent ML advances to design proteins from scratch, predict protein structure, and create detailed summaries of scientific literature. These advances promise a different way of doing science — a future where scientific experiments are ML-driven, rigorously tracked, and fully automatable. We are building that future.

At Sphinx, we believe that scientists deserve better tools than the current tangled mess of spreadsheets, notebooks, and slide decks. If you’re excited to build and deploy software and ML systems for cutting-edge science that saves lives, this job is for you!

We are backed by world-class investors including Benchmark Capital (investors in companies such as Uber, Twitter, Discord, Airtable, Confluent, Elastic).

As Sphinx’s founding ML Engineer, you will have a tremendous opportunity to shape the use of ML in the scientific domain. You will have the opportunity to learn from customers and work with the software engineering team to implement product solutions. You should be excited about 0→1 problems and feel comfortable working fast, cutting through ambiguity and keeping focused on customers and impact.

From a technical perspective, be prepared to do a little bit of everything — from designing data pipelines to deploying models. As a small team, we expect engineers to be generalists (though it’s ok if you have a set of areas where you’re stronger). We are also looking for first-principles thinkers. Scientific data and workflows has a different set of challenges than other industries, and you will have the opportunity to design novel solutions to difficult problems.