Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials
Overview
Radical Numerics is an artificial intelligence research lab dedicated to developing general biological intelligence and generative genomics models. Headquartered in San Francisco, California, the company builds multimodal platforms capable of reading, writing, and engineering biological sequences across DNA, RNA, and proteins. Its technology aims to accelerate biopharmaceutical research, enhance early disease diagnostics, and establish robust biodefense capabilities.
News
A new frontier in generative genomics with Omnii
A research preview of Omnii, our next-generation genome language model.
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Report
radicalnumerics/RND1-Base-0910 Hugging Face
We're on a journey to advance and democratize artificial intelligence through open source and open science.
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Report
RND1: simple, scalable AR-to-diffusion conversion
Introducing RND1-30B, the largest open-source diffusion language model, trained via AR-to-Diffusion conversion with a simple, scalable recipe.
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Report
Technologies
Tech DNA
Python
C++
Rust
PyTorch
Triton
CUDA
LLM
AI/ML
Python
C++
Multimodal AI
PyTorch
Triton
CUDA
CUDA Toolkit
Diffusion Models
Fine-tuning
JAX
LLM
TensorRT
TensorRT-LLM
vLLM
Megatron-LM
Post-training
PyTorch C++
DeepSpeed
SGLang
RLHF
Synthetic Data
Anomaly Detection
NCCL
Pre-training
Human-in-the-Loop
Mixture of Experts
Kubernetes
SLURM
Other
Rust
Stack modernity
66/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
10 jobs
Required
Multimodal AI
9 jobs
Required
PyTorch
8 jobs
Required
Triton
4 jobs
Required
CUDA Toolkit
3 jobs
Required
CUDA
3 jobs
Required
Fine-tuning
2 jobs
Required
JAX
2 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Stack changes
Mixture of Experts
Aug 2026
Human-in-the-Loop
Aug 2026
Post-training
Aug 2026
Pre-training
Aug 2026
NCCL
Aug 2026
Megatron-LM
Aug 2026
Anomaly Detection
Aug 2026
Synthetic Data
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
NVIDIA
Cohere
Adobe
Liquid AI
Sarvam AI
Cerebras Systems
Growth
Hiring Momentum
38/100
Slowing
Open positions
11
0 opened / 0 closed in 30 days
ATS activity
Every ~1 days
08/31/2026
Hiring Dynamics
0%
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.
AI/ML
100%
Activity Timeline
Added Anomaly Detection to stack
Aug 2026
Added Synthetic Data to stack
Aug 2026
Added RLHF to stack
Aug 2026
Added SLURM to stack
Aug 2026
Added Rust to stack
Aug 2026
Added PyTorch C++ to stack
Aug 2026
Added Kubernetes to stack
Aug 2026
Added C++ to stack
Aug 2026
Added SGLang to stack
Aug 2026
Added Multimodal AI to stack
Aug 2026
Added DeepSpeed to stack
Aug 2026
Added CUDA Toolkit to stack
Aug 2026
Jobs
≈ $195k – $394k per year (Estimated) • In office • Full-Time • San Francisco
Python
Diffusion Models
Fine-tuning
JAX
PyTorch
Apply
≈ $182k – $369k per year (Estimated) • In office • Full-Time • San Francisco
Python
LLM
TensorRT
TensorRT-LLM
Triton
vLLM
Apply
≈ $193k – $391k per year (Estimated) • In office • Full-Time • San Francisco
Python
CUDA
CUDA Toolkit
DeepSpeed
LLM
Multimodal AI
PyTorch
SGLang
TensorRT
TensorRT-LLM
Triton
vLLM
Mixture of Experts
Apply
≈ $200k – $406k per year (Estimated) • In office • Full-Time • San Francisco • Tokyo
Python
Multimodal AI
PyTorch
Apply
≈ $191k – $388k per year (Estimated) • In office • Full-Time • San Francisco • Tokyo
C++
Python
Rust
PyTorch C++
AI/ML
CUDA
CUDA Toolkit
Multimodal AI
PyTorch
Triton
Megatron-LM
NCCL
DevOps
Kubernetes
SLURM
Apply
≈ $193k – $391k per year (Estimated) • In office • Full-Time • San Francisco • Tokyo
Python
Multimodal AI
PyTorch
Pre-training
Apply
≈ $192k – $388k per year (Estimated) • In office • Full-Time • San Francisco • Tokyo
Python
Multimodal AI
PyTorch
RLHF
Synthetic Data
Post-training
Apply
Member of Technical Staff, Infrastructure and Training Systems
Verified live · 1 day ago 5 months ago≈ $192k – $389k per year (Estimated) • In office • Full-Time • San Francisco • Tokyo
C++
Python
PyTorch C++
AI/ML
CUDA
CUDA Toolkit
Multimodal AI
PyTorch
Triton
Megatron-LM
Apply
≈ $191k – $387k per year (Estimated) • In office • Full-Time • San Francisco
Anomaly Detection
Multimodal AI
Human-in-the-Loop
Apply
≈ $196k – $396k per year (Estimated) • In office • Full-Time • San Francisco
Python
Diffusion Models
Fine-tuning
JAX
Multimodal AI
PyTorch
Post-training
Apply
≈ $191k – $387k per year (Estimated) • In office • Full-Time • 3+ years exp • PhD • San Francisco
Python
Multimodal AI
Apply