Unlearn.AI

Unlearn.AI

HQ
San Francisco, CA
Total Offices: 2
73 Total Employees
49 Product + Tech Employees
Year Founded: 2017
Jobs at Unlearn.AI

Search the 6 jobs at Unlearn.AI

Recently posted jobs

2 Days Ago
San Francisco, CA
Hybrid
Artificial Intelligence • Healthtech • Generative AI
This internship at Unlearn involves working on the Data Tools team to build internal data products for driving clinical trial timelines towards zero. Responsibilities include transforming clinical data into machine learning ready datasets and collaborating with multidisciplinary teams.
2 Days Ago
San Francisco, CA
Hybrid
Artificial Intelligence • Healthtech • Generative AI
This internship at Unlearn involves working with the Machine Learning group to run experiments, develop ML models of disease progression, and gain exposure to generative modeling of tabular time series data.
2 Days Ago
San Francisco, CA
Hybrid
Artificial Intelligence • Healthtech • Generative AI
This internship involves working with the Cloud Services team to gain experience building and maintaining cloud-based systems that support AI technology development.
2 Days Ago
San Francisco, CA
Hybrid
Artificial Intelligence • Healthtech • Generative AI
This internship involves developing a standardized base for statistical computing for clinical trials, utilizing R and Python.
2 Days Ago
San Francisco, CA
Hybrid
Artificial Intelligence • Healthtech • Generative AI
Data Scientists working on our Clinical Data teams at Unlearn are responsible for building world class internal data products that enable fundamental advancements in machine learning.
2 Days Ago
San Francisco, CA
Hybrid
Artificial Intelligence • Healthtech • Generative AI

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 smal...