Software Engineer (Machine Learning)

We are advancing AI to power the future of medicine. At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are innovating advanced machine learning methods to leverage generative AI in forecasting patient outcomes, starting with the domain of clinical trials. We produce AI-generated digital twins of individual trial participants, enabling smaller and more efficient clinical trials to bring effective medicines to patients sooner. Our innovative work in AI today will reinvent how AI is applied in medicine tomorrow — and we have a top secret plan for how to get there. We won’t be able to achieve this mission just by applying technologies created by others; the future must be invented. Unlearn is a technology company, not a biotech company. We use computers, not pipettes. We make and use software, we don’t discover or make drugs. We believe that AI will define the future of medicine, and we aren’t deterred by naysayers or skeptics. We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits: Unlearners are ambitious; we aren’t intimidated by big, challenging goals. Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. Unlearners are gritty; we never give up, setbacks just make us try harder. Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo. Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least, Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last. Founded in 2017 by a team of world-class machine learning scientists, we have raised venture capital from top tier investors such as Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio. We completed our $50 million Series B in April 2022. We are headquartered in San Francisco, CA and have an additional office in Boston, MA. If our purpose and culture resonate with you, we invite you to apply. About the Role Software Engineers on our modeling teams are responsible for building and maintaining core software libraries and systems to train, evaluate, and deploy machine learning models that are core components of our products. We work at the cutting edge of machine learning to build technology that creates digital twins of participants in clinical trials, and strive to make these twins indistinguishable from real humans. This role enables our machine learning efforts to scale across models, disease areas, and applications. You will be part of a fast-paced, multidisciplinary team that loves tackling tough problems. Responsibilities - Building and maintaining software libraries and systems that enable the full machine learning lifecycle. - Productionize our research and ensure we can predict disease progression that is as reliable as having a human participant in a trial. - Collaborate with a multidisciplinary team of scientists, engineers, and statisticians to ensure we are delivering the right product at the right time. Requirements - Demonstrated experience in collaborative software development. - Track record of building impactful software for machine learning applications. - Fluency in Python and essential machine learning libraries (numpy, pandas, PyTorch, …). - Experience or interest in solving machine learning problems for healthcare. - Experience or interest in working with multidisciplinary teams that include scientists, engineers, and statisticians. - B.S. or related degree in a quantitative discipline. - Able to come into our San Francisco office two to three days a week. Benefits & Perks We offer a suite of benefits and perks for our team members, including: - Company-paid medical, dental, & vision insurance - 401k plan with company matching - Professional development budget for relevant conferences or workshops - Equity education and tax advisory services - Commuter benefits to help you get to our offices easily - Home-office set up allowance of up to $800 for all new hires - Flexible time off and an annual winter break (December 24 - January 1) - Paid Parental Leave Unlearn is an equal opportunity employer. At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.