Machine Learning Engineer/Scientist

Key Skills

Aartificial intelligence, Machine learning techniques, NumPy, Pandas, Public Health, Python Programming, PyTorch, US Healthcare Recruitment

Job Description

At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are developing generative machine learning methods to predict individual health outcomes and accelerate clinical innovation. Today, we are reimagining the randomized control trial (RCT) for the 21st century through AI-powered clinical trials or TwinRCT. A TwinRCT allows more trial patients to receive the experimental treatment, reaches full enrollment faster and put patients first. 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.

Founded in 2017 by a team of world-class machine learning scientists, we have raised venture capital from top tier investors such as Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio. We completed our $50 million Series B in April 2022. We are headquartered in San Francisco, CA and have an additional office in Boston, MA.

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

About the Role

Machine Learning Engineers on our modeling teams are responsible for advancing the state of the art in machine learning and applying those learnings to our products. We create digital twins of participants in clinical trials and strive to make these twins indistinguishable from real humans. In order to do this, we find that models from the literature are not enough and we need to continually invent new models for our applications. We then dive deep into our models in order to productionize them for clinical trials. You will be part of a fast-paced, multidisciplinary team that loves tackling tough problems.

Responsibilities

• Inventing new machine learning techniques that are applicable for clinical trials.
• Productionize our research and ensure we can predict disease progression that is as reliable as having a human participant in a trial.
• Collaborate with a multidisciplinary team of scientists, engineers, and statisticians to ensure we are delivering the right product at the right time.

Requirements

• Track record of using machine learning to solve challenging problems.
• 3+ years in a related role
• Fluency in Python and essential machine learning libraries (numpy, pandas, PyTorch, etc.) Demonstrated experience in collaborative software development.
• Experience or interest in solving machine learning problems for healthcare.
• Experience or interest in working with multidisciplinary teams that include scientists, engineers, and statisticians. B.S. (advanced preferred) or related degree in a quantitative discipline.
• Able to come into either our San Francisco or Boston office at least two days a week.

$127,000 - $215,000 a year

This is base salary.