Genesis Molecular AI
genesis.ml
Actively hiring
Drug Discovery
Drug Discovery AI
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$297.4M
3 rounds on record
Latest round
$224M
Venture round · Aug 2023 · 3 yr ago
Team
51-200
employees, estimated range
Hiring now
11
+1 posted in 30 days
Backers
5
Radical Ventures, Andreessen Horowitz
The money's age
Long since its last round
38 months since the last round · and hiring
Momentum
4/100
hiring for its size
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
Sep 14
First executive search Senior / Executive Director of Chemistry, Manufacturing, and Controls (CMC)
Aug 25, 2023
Board appointment Vijay Pande, Director · SEC Form D
Aug 10, 2023
Raised a round Venture round $224M · SEC Form D
Dec 23, 2022
New executive William Mccarthy, Executive Officer · SEC Form D
Jun 22, 2022
Raised a round Convertible Note $23.9M · SEC Form D
Nov 24, 2020
Raised a round Venture round $49.5M · SEC Form D
2019
Founded
Tractionpublic signals, read monthly
Web presence
top 2%
of 133.2M domains by links, Common Crawl
Hacker News stories
2
best: 5 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Venture round | Aug 2023 | $224M | — | SEC Form D |
| Convertible Note | Jun 2022 | $23.9M | — | SEC Form D |
| Venture round | Nov 2020 | $49.5M | — | SEC Form D |
Registers and programsofficial lists and records that name the company
| Legal entity | Genesis Therapeutics, Inc. | SEC Form D |
Founders and leadersfrom filings, registers and the company's site
Evan FeinbergExecutive Officer, DirectorSEC Form D
Peptiboon PrasitExecutive Officer, DirectorSEC Form D
Nicholas StockExecutive OfficerSEC Form D
Benjamin SklaroffExecutive OfficerSEC Form D
Stephen DannExecutive OfficerSEC Form D
William MccarthyExecutive OfficerSEC Form D
Backed byfrom the funds' portfolios and accelerator catalogs
Radical Ventures 
Andreessen Horowitz 
Felicis 
Harpoon Ventures 
Menlo Ventures Investors in similar startupsfunds that back the companies most like this one
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How Genesis Molecular AI hires
Truth index
C 56/100
Ghost roles
73%
Stale roles
0%
Reposted roles
0%
Genesis Molecular AI scores C on the Alion truth index (A is best, E worst), measured over 11 open roles re-checked against its own hiring board: 73% look like ghost listings, 0% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Visa sponsorship
- United States · H-1B filings in 12 months: 125 · green card filings: 3
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
Report
Genesis Molecular AI Unveils Pearl, a Field-Leading Foundation Model that Achieves Unprecedented Performance in Drug-Protein Structure Prediction
BURLINGAME, Calif., October 28, 2025--Genesis Molecular AI unveils Pearl, a field-leading foundation model that achieves unprecedented performance in drug-protein structure prediction
Read more
Report
Tech stack
Technologies named in job postings at Genesis Molecular AI over the last 12 months, by layer, with the share of postings for each.
Technologies in use
26
Postings analysed
13
Stack modernity
76/100AI adopter
Languages
Python23%
SQL8%
Frameworks & libraries
PyTorch15%
Ray15%
Scikit-learn8%
Dagster8%
Cloud & platforms
GCP15%
Kubernetes15%
AWS8%
Airflow8%
AI & ML
LLM15%
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Full Genesis Molecular AI tech stack
26 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$108k
Typical range
$100k – $115k
Open positions
2
1
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $100k | $100k |
Highest paying role
Manager, New Product Planning
$115k
Normalized to USD per year
People
Evan Feinberg
Executive Officer, Director
Peptiboon Prasit
Executive Officer, Director
Nicholas Stock
Executive Officer
Benjamin Sklaroff
Executive Officer
Stephen Dann
Executive Officer
William Mccarthy
Executive Officer
Leonard Bell
Director
Kris Jenner
Director
Vijay Pande
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
82/100
Scaling fast
Open positions
11
4 opened / 3 closed in 30 days
Median time-to-fill
2 days
faster than 94% of the market
ATS activity
Every ~3 hours
Today
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.
Early Careers
29% ▲
Backend
14% ▲
Product
14% ▼
Finance
14% ▲
HR
14% ▲
Science & Research
14% ▲
Activity Timeline
Added Multimodal AI to stack
Sep 2026
Added Microsoft Office to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Agile to stack
Sep 2026
Added Microsoft Excel to stack
Sep 2026
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
Offices
Where the company hires and what each office is for
Cities
4
Hiring now
3
Countries
1
Busiest office
San Mateo
Loading the map
Headquarters
Builds here
Office with open vacancies
No open vacancies right now Tap a pin for the office
Burlingame
United States
HQ
San Mateo
United States
Engineering / R&D
San Mateo
8 open roles 2 posted in 90 days 88% engineering 50-200 est. staff
hires for AI/ML, Backend, DevOps
101 S Ellsworth Ave #450
New York
United States
Engineering / R&D
New York
6 open roles 3 posted in 90 days 83% engineering 10-50 est. staff
hires for AI/ML, Backend, Product
666 3rd Ave
San Diego
United States
Engineering / R&D
4 open roles 3 posted in 90 days 25% engineering 10-50 est. staff $108k Avg Salary
hires for Product, Finance, Science & Research
Jobs
≈ $198k – $361k per year (Estimated) • Hybrid • Full-Time • San Mateo • New York
Diffusion Models
Machine Learning
Apply
$85k – $115k per year • Hybrid • Full-Time • Bachelor's Degree • San Diego
Diffusion Models
Analytics
Microsoft Excel
Apply
≈ $127k – $282k per year (Estimated) • Equity • In office • Full-Time • PhD • San Mateo
Python
JAX
Diffusion Models
NumPy
PyTorch
Mixture of Experts
Machine Learning
DevOps
HPC
Apply
≈ $172k – $352k per year (Estimated) • Hybrid • Full-Time • PhD • San Mateo • New York
Python
SQL
Scikit-learn
Diffusion Models
PyTorch
Edge AI
Machine Learning
Apply
≈ $154k – $281k per year (Estimated) • In office • Full-Time • 5+ years exp • San Mateo
Python
Diffusion Models
Ray
Machine Learning
DevOps
Terraform
GCP
AWS
Kubernetes
Apply
≈ $148k – $324k per year (Estimated) • Hybrid • Full-Time • San Mateo • New York
Spark
Airflow
Dagster
Diffusion Models
Ray
Flyte
Machine Learning
DevOps
Terraform
GCP
Kubernetes
Analytics
ETL/ELT
Apply
≈ $184k – $337k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • San Mateo • New York • San Diego
Diffusion Models
Machine Learning
Apply
≈ $184k – $377k per year (Estimated) • Hybrid • Full-Time • PhD • San Mateo • New York
PyTorch Lightning
Reinforcement Learning
Diffusion Models
PyTorch
Ray
Post-training
Machine Learning
Apply
≈ $179k – $367k per year (Estimated) • Hybrid • Full-Time • 2+ years exp • Master's Degree • San Mateo • New York
Python
CUDA Toolkit
PyTorch Lightning
RLHF
Reinforcement Learning
Quantization
Diffusion Models
TensorRT
PyTorch
LLM
Ray
Synthetic Data
CUDA
Triton
SFT
Post-training
Machine Learning
Apply