Machine Learning Internship Summer 2024

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

This internship will work with members of the Machine Learning group in running machine learning experiments and developing new ML models of disease progression. You will gain exposure to world-class methods for generative modeling of tabular time series data, and help develop new capabilities through fast-paced experiments involving data, models, and software.

Requirements 

• Pursuing a degree in Computer Science, Machine Learning, or related technical field.

• Experience in Python and common machine learning and data science libraries (pytorch, pandas, numpy).

• Experience or interest in working on machine learning problems in healthcare.

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

Responsibilities

• Building machine learning models of disease progression and carrying out ML experiments.

• Analyzing clinical datasets and understanding the design of clinical trials and application of machine learning models to them.

• Writing software to create capabilities for machine learning experiments and analysis of model performance.

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.