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, 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.

About the Role

We are seeking a highly motivated QA Engineer to join our growing Engineering team. You will be responsible for ensuring the quality, reliability, and performance of our software systems and machine learning pipelines. You will work closely with Software Engineers, Data Scientists, and Product Managers to design and implement robust testing frameworks, helping us deliver safe, reliable, and compliant solutions that power AI-driven clinical trials.

Responsibilities

• Design and implement test strategies for our software products and data pipelines

• Develop and maintain automated test suites for APIs, data workflows, and user interfaces

• Collaborate with Engineering and Product teams to define testing requirements and acceptance criteria

• Execute manual and exploratory testing as needed for new features and releases

• Monitor and improve CI/CD pipelines to ensure high test coverage and fast feedback loops

• Document and report bugs, track resolutions, and perform regression testing

• Support the development of QA best practices and advocate for quality across the organization

Requirements

• 2+ years of experience in a QA, SDET, or related role

• Experience with automated testing frameworks (e.g., pytest, Selenium, Playwright, JUnit)

• Familiarity with CI/CD systems and version control tools like GitHub Actions or Jenkins

• Proficiency in at least one programming language (Python preferred)

• Strong analytical and debugging skills

• Ability to write clear test cases, test plans, and documentation

• Experience working in Agile development environments and cross-functional teams

Nice to Have

• Experience testing data-intensive applications or ML models

• Knowledge of healthcare compliance standards (e.g., GxP, HIPAA)

• Familiarity with cloud infrastructure (AWS, GCP, or Azure)

• Background in the life sciences or healthcare domain

Benefits & Perks

• Generous equity participation