Machine Learning Software Engineer, Unlearn.AI

$150-217k

+ Bonuses and equity

Python

NumPy

Pandas

PyTorch

Junior, Mid and Senior level

San Francisco Bay Area

2-3 days a week in office

Generative machine learning methods for medicine

Job no longer available

Generative machine learning methods for medicine

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningeCommerceScience

Job no longer available

$150-217k

+ Bonuses and equity

Python

NumPy

Pandas

PyTorch

Junior, Mid and Senior level

San Francisco Bay Area

2-3 days a week in office

21-100 employees

HealthcareB2BArtificial IntelligenceMachine LearningeCommerceScience

Company mission

To advance artificial intelligence to eliminate trial and error in medicine.

Job

Company

Role

Who you are

Demonstrated experience in collaborative software development
Track record of building impactful software for machine learning applications
Fluency in Python and essential machine learning libraries (numpy, pandas, PyTorch, …)
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. or related degree in a quantitative discipline
Able to come into our San Francisco office two to three days a week

What the job involves

This role enables our machine learning efforts to scale across models, disease areas, and applications. You will be part of a fast-paced, multidisciplinary team that loves tackling tough problems
Building and maintaining software libraries and systems that enable the full machine learning lifecycle
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

Our take

Clinical trials supporting the development of new drugs typically drag out for a number of years. With the root of this problem being the lack of qualified participants, especially when drugs reach critical phase 3 studies, which often require hundreds or thousands of participants to test the investigational drug.

Machine learning generative AI startup, Unlearn.AI, is looking to tackle this challenge and transform the way clinical trials are performed. The company specializes in clinical trial optimization through its proprietary technology, called the "Digital Twin", which creates a virtual replica of a patient population in order to simulate the effects of different treatments. Through this approach, researchers are able to run clinical trials with smaller sample sizes, reducing the time and costs associated with traditional clinical trials.

Since its inception in 2017, Unlearn.AI has worked with a number of pharmaceutical companies as well as academic institutions in order to improve clinical trial designs and accelerate drug development efforts. With a bright future on the horizon for the AI startup, Unlearn.AI has the potential to revolutionize healthcare, diagnostics, and treatment.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

28% employee growth in 12 months

Glassdoor (4.8)

Company

Funding (last 2 of 6 rounds)

Feb 2024

$50m

SERIES C

Mar 2023

$15m

LATE VC

Total funding: $130.7m

Company benefits

100% employer-covered medical, dental, and vision insurance for you and your family
Company-paid life insurance, AD&D insurance, short-term/long-term disability insurance
401k plan with generous matching
Paid parental leave
Professional development budget to attend conferences, workshops, classes, and more

Company HQ

Yerba Buena, San Francisco, CA

Leadership

Charles Fisher

(CEO)

Graduated from Harvard University with a Ph.D. in Biophysics. Previously worked as a Machine Learning Engineer at Leap Motion, as well as a Principal Scientist at Pfizer.

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