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Company profile

Genesis Molecular AI Tech Stack

AI foundation models and physics for small molecule drug discovery

Biotechnology Research Burlingame, California 51–200 employees Privately Held

Genesis Molecular AI builds generative and predictive molecular models through its GEMS platform, pairing PyTorch, Triton, CUDA and XLA with physics tools like OpenMM and GROMACS. A multi-cloud AWS and GCP footprint run on Kubernetes, Ray and Terraform points to heavy GPU training workloads. Hiring is accelerating and senior-weighted, with CMC, formulation and process chemistry projects signaling a push from discovery toward clinical-stage development.

Tech Stack 23 technologies

Core StackPython scikit-learn PyTorch AWS Terraform Kubernetes Ashby GraphQL RDKit GCP Ray GROMACS OpenMM PyMOL PyTorch Lightning PyTorch Geometric XLA Triton CUDA UniProt cryo-EM NVIDIA

What Genesis Molecular AI Is BuildingChallenges and projects from their job posts

◆Challenges

Rapid timelines for drug development
Model validation and uncertainty quantification in predictions
Maintaining and autoscaling multi-cloud compute infrastructure
Data curation for small molecule datasets
CMC risk and clinical trial material supply
Reducing friction between ML and biology teams

▲Active Projects

Productionizing Pearl structure prediction model
Generative foundation models at scale
Global CMC strategy for small molecule pipeline
Model deployment and experiments on model changes
Nucleus internal platform
Formulation development and API process chemistry scale-up

Hiring Activity

Accelerating10 roles · 4 in 30d

Department

Research

Engineering

Product

Finance

Manufacturing

Seniority

Senior

Staff

Director

Junior

Lead

Manager

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About Genesis Molecular AI

Genesis Molecular AI is a privately held biotech company headquartered in Burlingame, California, with a laboratory in San Diego and offices in New York. It develops AI foundation models for small molecule drug design through GEMS, a platform that combines machine learning with physics-based modeling, including the Pearl structure prediction model. The company runs an internal pipeline of drug programs, including against hard-to-drug targets, and partners with pharmaceutical companies on platform collaborations. It employs 51–200 people and hires in the United States.

HeadquartersBurlingame, California

Company Size51–200 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Genesis Molecular AI use?

Its stack includes Python, PyTorch, PyTorch Lightning, PyTorch Geometric, RDKit, scikit-learn, Triton, CUDA and XLA, plus OpenMM, GROMACS and PyMOL, running on AWS and GCP with Kubernetes, Ray and Terraform.

Where is Genesis Molecular AI headquartered?

Genesis Molecular AI is headquartered in Burlingame, California, with a laboratory in San Diego and offices in New York.

What is Genesis Molecular AI working on?

Current work includes productionizing the Pearl structure prediction model, scaling generative foundation models, building the internal Nucleus platform, and a global CMC strategy for its small molecule pipeline.

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How this profile is built

Genesis Molecular AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.