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# Scientist, Machine Learning

- **Company:** Atomic AI, Inc.
- **Location:** South San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $170,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Computational Biology, Experimental Data, Python (Programming Language), Machine Learning, Extensible Markup Language (XML), Scripting, Pytorch, Deep Learning, Information Technology
- **Published:** August 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/scientist-machine-learning-south-san-francisco-ca--81951c71-547b-4b18-b283-f6b086d74bba

## About the Role

* Ph.D., M.Sc., or M.Eng. in Computer Science, Physics, Applied Mathematics, Materials Science, Computational Biology, or related field.
 * 4+ years of experience developing machine learning methods for scientific applications.
 * Foundational knowledge of machine learning and underlying mathematical concepts.
 * Proficiency in Python and deep learning frameworks (e.g., JAX, PyTorch).
 * Excellent presentation and writing skills, able to clearly communicate technical information to colleagues.

Pluses

 * Publications at major machine learning conferences or in major scientific journal
 * Research experience related to structural biology, molecular design, and drug discovery.
 * Foundational knowledge of physics, chemistry, and molecular biology.
 * Demonstrated ability to develop performant code., Analysis Skills, Biology, Chemistry, Communication Skills, Computer Science, Conferences, Data Collection, Deep Learning, Disease, Drug Design, Drug Discovery, JAX (Java API for XML), Machine Learning, Material Science, Mathematics, Molecular Biology, Physics, Publications, Python Programming/Scripting Language, Research & Development (R&D), Ribonucleic Acid (RNA), Team Player, Writing Skills

## Description

As a full-time Scientist on the Machine Learning team, you will work closely with engineers and experimental scientists to advance our technology platform for RNA structure prediction, target identification, and early drug discovery. You will co-lead the development and evaluation of the machine learning pipeline. You will contribute new ideas and realize their potential as part of a continuously advancing state-of-the-art platform. You will proactively shape the directions of the machine learning efforts and those of the whole company.

Primary responsibilities

 * Design and develop novel machine learning models for RNA structure prediction and drug targeting.
 * Evaluate and advance the state of the art of our structure prediction platform.
 * Collaborate with our wetlab team on the targeted acquisition of experimental data to improve our machine learning models.
 * Develop high-quality code in a team setting.
 * Analyze, interpret, and organize results and present progress to colleagues in regular research meetings.
 * Work within a collaborative, high-caliber, interdisciplinary team and proactively shape the scientific and strategic vision of the company.


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