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.

Headquartered in San Francisco, with an additional office in Boston, Unlearn was founded in 2017 by a team of world-class machine learning scientists.  We have raised venture capital from top tier investors such as Altimeter, Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio, and recently completed our $50 million Series C in January 2024.

If our purpose and culture resonate with you, we invite you to apply.

The Role

We are looking for an experienced software engineer who wants to build a new, computationally-focused approach to solving important problems in healthcare. The ideal candidate will have a broad knowledge base and the ability to converse and collaborate with different types of teams including technology, marketing, and business development, as well as the ability to build and commercialize cutting-edge technologies. We are a tech-first company, and our engineers are the lifeblood of everything we do. You can expect rapid growth in your technical capabilities in a fast-paced startup environment. 

Requirements 

• At least 4 years of professional software development experience (in industry) where you were coding > 50% of the time in the last year

• At least 4 years experience building and shipping products to production using Python, modern Javascript frameworks (e.g. React, Angular), microservices, APIs, and cloud-native services (we use AWS)

• Experience designing with a security-first approach to ensure integrity of sensitive data

• Familiarity with common DevOps patterns and tooling in cloud environments

• High-level project management skills, and facility with tools such as Jira

• Adept at clear, concise, well-organized written communication about your work

• Ability to debug problems that span systems, and design solutions that span the whole stack

• Energized by focusing on the needs of our users, both internal and external

• Holds themselves and others to a high bar when working with production systems

• Ability to work in our San Francisco office at least 2 days per week

Responsibilities 

• Design and implement responsive Web applications, API’s, services and data pipelines

• Implement best-in-class security mechanisms for API’s / Web applications

• Build secure and reliable storage systems for handling customer and business data

• Resource and latency optimization to meet SLA requirements

• Take ownership of systems end-to-end to meet business requirements

• Demonstrate