Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Funding and backers

Total raised
$27.6M
1 round on record
Latest round
$27.6M
Venture round · Sep 2026 · 1 mo ago
Team
51-200
employees, estimated range
Hiring now
7
open roles
Backers
1
AlleyCorp
The money's age
Fresh money
1 months since the last round · hiring slowed
Momentum
35/100
in the news, fresh money
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 10 Raised a round Venture round $27.6M · led by AlleyCorp · YahooFinance
Funding rounds
RoundDateAmountInvestorsSource
Venture round Sep 2026 $27.6M AlleyCorp lead, Uncork Capital, Rene YahooFinance
Backed byfrom the funds' portfolios and accelerator catalogs
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Overview

Epsilon Health is an AI-native radiology practice that reinvents how medical imaging is interpreted, built on a large and diverse medical imaging dataset. It hires research scientists for vision foundation models and post-training and software engineers for machine learning infrastructure. The company is headquartered in San Francisco, California, United States.

News

News Pulse 2.0 1 month ago
Epsilon Health Raises $27.6 Million To Scale AI-Native Radiology Practice
Epsilon Health has emerged from stealth with $27.6 million in funding to expand its AI-native radiology practice, which is already processing more than 2,500 imaging studies per day and expects to interpret 1% of all daily U.S. X-rays during 2026. The fin
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Report
News YahooFinance 1 month ago
Epsilon Health Raises $27.6 Million to Solve America's Growing Radiologist Shortage
SAN FRANCISCO, September 10, 2026--Epsilon Health ("Epsilon"), the AI-native radiology practice reinventing how radiology is delivered, today emerged from stealth with $27.6 million in funding led by AlleyCorp, with participation from Uncork Capital, Rene
Read more
Report

Tech stack

Technologies named in job postings at Epsilon Health over the last 12 months, by layer, with the share of postings for each.
Technologies in use
54
Postings analysed
8
Stack modernity
79/100AI adopter
Languages
Python
TypeScript
JavaScript
Go
Frameworks & libraries
JAX
PyTorch
SGLang
React.js
Cloud & platforms
vLLM
AWS
Kubernetes
Databricks
AI & ML
LLaVA
Qwen
VLM
DINOv2
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Full Epsilon Health tech stack 54 technologies · by team · pay by technology · changes · similar stacks

Salary insights

Compensation ranges based on this company's open jobs
Median
$250k
Typical range
$250k
Open positions
2
2 Jobs
Senior 100%
Level Jobs Median Typical range
Senior 2 $250k $250k
Highest paying role Software Engineer - Core Systems $250k
Normalized to USD per year

Growth

Hiring Momentum
35/100
Slowing
Open positions
7
0 opened / 0 closed in 30 days
Median time-to-fill
1 days
faster than 98% of the market
ATS activity
Every ~4 hours
Today
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
75% ▼
Backend
25% ▲

Offices

Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco United States
HQ
7 open roles 8 posted in 90 days 100% engineering 50-200 est. staff $250k Avg Salary
hires for AI/ML, Backend
seen since Aug 2026 job postings

Jobs

up to $250k per year • In office • Full-Time • 5+ years exp • San Francisco
JavaScript
TypeScript
Edge AI
Frontend
React.js
Apply
≈ $174k – $334k per year (Estimated) • In office • Full-Time • 6+ years exp • San Francisco
Python
DeepSpeed
vLLM
Reinforcement Learning
Quantization
JAX
Multimodal AI
SGLang
TensorRT
PyTorch
Triton
Post-training
Megatron-LM
FSDP
Edge AI
Prompt Caching
Machine Learning
DevOps
Kubernetes
Analytics
A/B Testing
Apply
up to $250k per year • In office • Full-Time • 6+ years exp • San Francisco
Python
Go
JavaScript
Java
TypeScript
Multimodal AI
Edge AI
Frontend
React.js
DevOps
CI/CD
AWS
Cybersecurity
HIPAA
Analytics
ETL/ELT
Apply
≈ $169k – $373k per year (Estimated) • In office • Full-Time • San Francisco
Qwen
Reinforcement Learning
JAX
Multimodal AI
Computer Vision
VLM
PyTorch
Contrastive Learning
LLaVA
Post-training
Interpretability
Machine Learning
Apply
≈ $165k – $364k per year (Estimated) • In office • Full-Time • San Francisco
JAX
Multimodal AI
Computer Vision
Transfer Learning
PyTorch
Ray
DINOv2
Self-Supervised Learning
Contrastive Learning
Interpretability
Apply
≈ $168k – $371k per year (Estimated) • In office • Full-Time • San Francisco
vLLM
RLHF
Reinforcement Learning
JAX
Multimodal AI
Function Calling
AI Agents
SGLang
TRL
Transformers
PyTorch
GRPO
Post-training
Reward Modeling
Machine Learning
Apply
≈ $165k – $364k per year (Estimated) • In office • Full-Time • San Francisco
Python
Databricks
AI/ML
Spark
Multimodal AI
NLP
LLM
Hallucination
Post-training
Human-in-the-Loop
Machine Learning
Apply

Financials

Total raised
$27.6M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
Round Announced Amount
Venture - Series Unknown 2026 $27.6M Details