Atomic AI

Atomic AI is at the forefront of AI-driven RNA drug discovery, utilizing a proprietary platform that combines machine learning and structural biology to develop RNA-targeted small molecules and RNA-based medicines. The company aims to tackle previously untreatable diseases by engineering RNA biology, supported by a world-class interdisciplinary team with expertise in various scientific fields. Their innovative approach positions them uniquely in the biotech landscape, focusing on the intersection of AI and molecular structure to revolutionize drug discovery.

AIMachine LearningRNA-based MedicinesRNA Drug DiscoverySmall MoleculesStructural Biologyatomic.ai

Atomic AI

AIMachine LearningRNA-based MedicinesRNA Drug DiscoverySmall MoleculesStructural Biologyatomic.ai

HQSouth San Francisco, US

Team Size27

Open Jobs2

Total Funding$42M

Latest Fundraise3 years ago

TL;DR

Focus: AI-driven RNA drug discovery (RNA-targeted small molecules and RNA-based therapeutics)

Founded: 2021

Headquarters: South San Francisco, CA

Notable tech: Foundation model ATOM-1 for 3D RNA structure prediction

Approx. team size: 27 employees

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Company Overview

Problem Domain

RNA biology and drug discovery — discovering RNA-targeted small molecules and RNA-based therapeutics.

Founded

2021

Industry

Biotechnology Research

Tech Stack

ATOM-1 (foundation model for RNA structure prediction)

Funding Track Record

Series A- 2023-08-29

42000000

Investor Signal

“Syndicate includes Playground Global, Greylock, 8VC, AME Cloud Ventures, Not Boring, Factory, Nat Friedman, Neal Khosla and several individual investors”

Founders

What we do

Join the Team

Machine Learning Scientist

On-SiteSan Francisco Bay Area, US

On-Site • San Francisco Bay Area, US

Who you are

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
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

What the job involves

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

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Backend Developer

ContractAmsterdam, NL

Contract • Amsterdam, NL

Software Engineer

Part-timeAmsterdam, NL

Part-time • Amsterdam, NL

AI Researcher

Part-timeJerusalem

Part-time • Jerusalem

Data Scientist

ContractTel Aviv

Contract • Tel Aviv

Backend Developer

InternshipJerusalem

Internship • Jerusalem

Product Designer

ContractNew York, US

Contract • New York, US

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

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