At Atomwise, we invented the first deep learning neural networks for structure-based small molecule drug discovery, and we’re currently deploying it in one of the largest applications of machine learning for life sciences. We work on Alzheimer’s, cancer, diabetes, drug-resistant antibiotics, and other diseases. We’ve partnered with 4 of the top-10 US pharma companies, raised over $50M from top VCs, and have 100+ diverse projects currently running.
You should think about joining us if you care about enabling the application of machine learning to essential problems. For example, we are not constrained by latency or uptime but by scaling and parallelization. Today we can analyze more than 1 billion molecules per day, but there are about 10^24 synthetically-accessible molecules. Come help us pick up a couple of orders-of-magnitude.
Our team has over 35 Ph.D. scientists who contribute to a collaborative academic-like culture that fosters robust scientific and technical discussion. We strongly believe that data wins over opinions, and aim for as little dogma as possible in our decision making. Our team members have expertise in a wide range of disciplines--from computational chemistry and structural biology to cloud-native best practices--and we regularly have internal seminars open to anyone interested in learning about these topics.
Our Engineering team is small and growing quickly. As a result, there’s plenty of opportunities for career growth and to have a significant impact on our success.
Compensation & benefits
Atomwise is not currently offering visa sponsorships for any position. Please only apply if eligible to work in the U.S.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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