Genesis Molecular AI logo
Genesis Molecular AI logo

Genesis Molecular AI

genesis.ml
genesis.ml • HQ: Burlingame, United States • Founded 2019
HQ: Burlingame, United States • Founded 2019
Actively hiring
Pharmaceuticals
Bioinformatics
Biopharma
Health Care
Drug Discovery
Medical AI
Artificial Intelligence
Biotechnology
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Growth
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Overview

Genesis Molecular AI is a drug discovery company headquartered in Burlingame, California, and founded in 2019. The company combines deep learning models of molecular structure and binding with in-house chemistry and biology to design small molecule drug candidates against difficult targets. It advances its own pipeline while running partnered discovery programmes with large pharmaceutical companies, and previously operated under the name Genesis Therapeutics.

News

Technologies

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Tech DNA
Python
SQL
PyTorch
Ray
Dagster
GCP
AWS
LLM
AI/ML
Python
SQL
Diffusion Models
PyTorch
Ray
PyTorch Lightning
Reinforcement Learning
Post-training
GCP
Kubernetes
Terraform
JAX
NumPy
Scikit-learn
Airflow
Dagster
Spark
CUDA
CUDA Toolkit
LLM
Quantization
RLHF
Synthetic Data
TensorRT
Triton
Edge AI
Flyte
SFT
Mixture of Experts
AWS
HPC
Other
ETL/ELT
Stack modernity Modern AI adopter
73/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Diffusion Models 9 jobs Required
$115k -59% vs market
Python 4 jobs Required
PyTorch 4 jobs Required
Ray 4 jobs Required
Terraform 2 jobs Required
GCP 2 jobs Required
Kubernetes 2 jobs Required
PyTorch Lightning 2 jobs Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
AWS
16%
SQL
15%
Kubernetes
14%
LLM
13%
GCP
12%
Share of companies in the same industry that use each technology.
Stack changes
Mixture of Experts Aug 2026
HPC Aug 2026
SFT Aug 2026
Post-training Aug 2026
Flyte Aug 2026
ETL/ELT Aug 2026
Edge AI Aug 2026
Triton Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Similar stack
NVIDIA 28 shared technologies Adobe 28 shared technologies Weekday 28 shared technologies AstraZeneca 27 shared technologies Jobgether 27 shared technologies Snowflake 26 shared technologies

Growth

Hiring Momentum
58/100
Growing
Open positions
9
0 opened / 0 closed in 30 days
ATS activity
Every ~2 days
08/29/2026
Hiring Dynamics +100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
DevOps
50% ▼
Product
50% ▲
Activity Timeline
Added Mixture of Experts to stack Aug 2026
Added HPC to stack Aug 2026
Added SFT to stack Aug 2026
Added Post-training to stack Aug 2026
Added Flyte to stack Aug 2026
Added ETL/ELT to stack Aug 2026
Added Edge AI to stack Aug 2026
Added Triton to stack Aug 2026
Added TensorRT to stack Aug 2026
Added Synthetic Data to stack Aug 2026
Added RLHF to stack Aug 2026
Added Reinforcement Learning to stack Aug 2026

Jobs

$85k – $115k per year • Remote/Hybrid • Full-Time • Bachelor's Degree • San Diego
Diffusion Models
Apply
≈ $99k – $257k per year (Estimated) • Equity • In office • Full-Time • PhD • San Mateo
Python
Diffusion Models
JAX
NumPy
PyTorch
Mixture of Experts
DevOps
HPC
Apply
≈ $114k – $258k per year (Estimated) • Remote/Hybrid • Full-Time • PhD • San Mateo • New York
Python
SQL
Diffusion Models
PyTorch
Scikit-learn
Edge AI
Apply
≈ $195k – $318k per year (Estimated) • Remote/Hybrid • Full-Time • San Mateo • New York
Diffusion Models
Apply
≈ $113k – $248k per year (Estimated) • In office • Full-Time • 5+ years exp • San Mateo
Python
Diffusion Models
Ray
DevOps
AWS
GCP
Kubernetes
Terraform
Apply
≈ $114k – $283k per year (Estimated) • Remote/Hybrid • Full-Time • San Mateo • New York
Airflow
Dagster
Diffusion Models
Ray
Spark
Flyte
DevOps
GCP
Kubernetes
Terraform
Analytics
ETL/ELT
Apply
≈ $149k – $277k per year (Estimated) • Remote/Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • San Mateo • New York • San Diego
Diffusion Models
Apply
≈ $121k – $275k per year (Estimated) • Remote/Hybrid • Full-Time • PhD • San Mateo • New York
Diffusion Models
PyTorch
PyTorch Lightning
Ray
Reinforcement Learning
Post-training
Apply
≈ $117k – $266k per year (Estimated) • Remote/Hybrid • Full-Time • 2+ years exp • Master's Degree • San Mateo • New York
Python
CUDA
CUDA Toolkit
Diffusion Models
LLM
PyTorch
PyTorch Lightning
Quantization
Ray
Reinforcement Learning
RLHF
Synthetic Data
TensorRT
Triton
Post-training
SFT
Apply