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 Senior Backend Software Engineer to play a hands-on role in building and optimizing backend systems for our applications while also contributing to infrastructure for ML model training and production. This role requires strong expertise in backend development, distributed systems, and cloud infrastructure. The ideal candidate will work closely with ML engineers, data scientists, and product teams to ensure scalable, efficient, and high-performance systems.

Responsibilities

• Backend Development: Design, develop, and maintain scalable, high-performance platforms including services and APIs.

• System & Infrastructure Contributions: Build and optimize infrastructure for ML model training and production, ensuring reliability and efficiency.

• Database & Storage Optimization: Design and maintain efficient data pipelines, databases, and storage solutions for high-throughput applications.

• Scalability & Performance Tuning: Ensure backend services are highly available, resilient, and performant, handling large-scale data workloads.

• Collaboration: Work closely with ML engineers, data scientists, and DevOps teams to integrate models into production and enhance system architecture.

• Security & Reliability: Implement best practices for security, monitoring, and fault tolerance to maintain system integrity.

• Code Quality & Best Practices: Write clean, maintainable, and testable code, adhering to industry best practices.

• Continuous Improvement: Evaluate and adopt new technologies and architectures to improve backend and ML system performance.

Requirements

• 7+ years of backend software engineering experience, with expertise in designing and building scalable, distributed systems