Atomic AI

About the start-up

Rational design of new molecules and medicines, enabled by the fusion of artificial intelligence and structural biology.

The Opportunity

As a member of the Machine Learning team, you will work closely with computational and experimental scientists to advance our R&D technology platform for RNA structure prediction, target identification, and early drug discovery. You will develop and optimize novel machine learning models and built efficient pipelines to harness different data modalities. You will contribute new ideas and realize their potential as part of a continuously advancing state-of-the-art platform.

Primary responsibilities

In collaboration with ML scientists, develop and optimize novel machine learning models for RNA structure prediction and drug targeting

Extend our data and evaluation pipelines
Analyze, interpret, and organize results and present progress to colleagues in regular research meetings
Work within a collaborative, high-caliber, interdisciplinary team and contribute your ideas

About you

Advanced graduate researcher in Computer Science, Physics, Statistics, Applied Mathematics, or a related field

Multi-year experience in deep learning
Proficiency in Python and deep learning frameworks (e.g., PyTorch or JAX)
Ability to write clean and performant code
Excellent presentation and writing skills, ability to clearly communicate technical information to colleague

Pluses

Publications at major machine learning conferences or in major scientific journals
Previously worked on projects related to structural biology, molecular design, or drug discovery
Foundational knowledge of physics, chemistry, and molecular biology

Atomic AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status

Atomic webpage

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