Engineering Manager, Data and ML Infrastructure

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San Francisco, CA
210K-250K Annually
5-7 Years Experience
Artificial Intelligence • Machine Learning
We advance AI that accelerates clinical innovation today and will revolutionize medicine tomorrow.
The Role


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:

  • ; we aren’t intimidated by big, challenging goals. 

  • ; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly. 

  • ; we never give up, setbacks just make us try harder.

  • ; in fact, we hate being stuck with the status quo

  • ; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,

  • ; 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.

The Role

We are looking for a manager to lead a team of Data and ML engineers to enhance Unlearn’s Digital Twin technology. In this high-impact role, you’ll use your experience with the latest Data and ML tools to help us build a platform that is secure, transparent, and traceable, while also enabling speed and flexibility to deploy the results of cutting edge research. 

The ideal candidate will have strong technical expertise and outstanding people management skills. We are a tech-first company, and our engineers are the lifeblood of everything we do. Your responsibility will involve fostering a positive team culture that promotes both team growth and the attainment of our business objectives.

Responsibilities

  • You will partner closely with Data Science and AI/ML researchers to build the stack that powers Unlearn’s core Data and ML products.

  • You will collaborate with engineering leaders to define high-level technical direction and promote a vibrant culture of engineering excellence.

  • You will lead and inspire a team of software engineers by demonstrating hands-on engineering expertise.

  • You will recruit, grow and coach engineers through regular feedback and provide opportunities to make progress towards their goals.

  • You will contribute to technical decision-making discussions by demonstrating a keen understanding of the tradeoffs required to deliver business objectives.

Requirements

  • At least 5 years of professional software engineering experience.

  • Experience managing engineers in a fast-paced tech startup.

  • Proven track record of maintaining team environments that are collaborative, empowering, supportive, and challenging.

  • Experience leading infrastructure teams that consistently deliver business impact.

  • Excellent communication, collaboration, and coaching abilities.

  • A desire to build an inclusive and diverse culture.

  • Ability to work in our San Francisco office at least 3 days per week.

  • Bonus: Experience building and innovating in highly regulated industries

Benefits & Perks

  • Generous equity participation

  • 100% company-covered medical, dental, & vision insurance plans

  • 401k plan with generous matching

  • Flexible PTO plus company holidays

  • Annual company-wide break December 24 through January 1

  • Professional development budget to attend conferences or other events

  • Commuter benefits plan

  • 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.

Compensation Range: $210K - $250K

The Company
San Francisco, CA
60 Employees
On-site Workplace
Year Founded: 2017

What We Do

Unlearn is advancing AI to eliminate trial and error in medicine, starting with reinventing clinical trials for the 21st century. We create AI-generated digital twins of individual trial participants that are forecasts of their future health outcomes. Digital twins of participants are used to run smaller, more efficient clinical trials that help bring new treatments to patients sooner.

Why Work With Us

Our team of Unlearners are ambitious, gritty, disciplined experimenters and storytellers. We are innovators who dismantle the status quo and embrace failure. Our approach to innovation rests on moonshot thinking — by setting radically ambitious goals, we can make the impossible possible and solve a problem that impacts the lives of millions.

Unlearn.AI Offices

OnSite Workspace

We believe that in person collaboration and colocated teams are the best fit for our business needs today. We have two working hubs: San Francisco, CA (HQ) and Boston, MA. Team members living near hubs come to the office at least 2 days per week.

Typical time on-site: None
San Francisco, CA

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