Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Funding and backers

Hiring now
4
+3 posted in 30 days
Backers
1
South Park Commons
Momentum
30/100
hiring for its size
Last sign of life
this month
a posting or a news item
Backed byfrom the funds' portfolios and accelerator catalogs
Investors in similar startupsfunds that back the companies most like this one
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Visa sponsorship

  • United States · H-1B filings in 12 months: 1

Visa details by country

Overview

Preference Model is building the next generation of training data to power the future of AI.

News

News AssemblyAI 3 years ago
How RLHF Preference Model Tuning Works (And How Things May Go Wrong)
Large Language Models like ChatGPT are trained with Reinforcement Learning From Human Feedback (RLHF) to learn human preferences. Let's uncover how RLHF works and survey its current strongest limitations.
Read more
Report

Tech stack

Technologies named in job postings at Preference Model over the last 12 months, by layer, with the share of postings for each.
Technologies in use
29
Postings analysed
5
Stack modernity
79/100AI adopter
Languages
Python
C++
Mojo
Frameworks & libraries
JAX
PyTorch
CUDA
Triton
Cloud & platforms
Anthropic
CUDA Toolkit
AWS
GCP
AI & ML
Claude
LLM
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Full Preference Model tech stack 29 technologies · by team · pay by technology · changes · similar stacks

Salary insights

Compensation ranges based on this company's open jobs
Median
$350k
Typical range
$200k – $350k
Open positions
4
4 Jobs
Staff 100%
Level Jobs Median Typical range
Staff 4 $350k $200k – $350k
Highest paying role Member of Technical Staff - Machine Learning Capabilities $350k
Normalized to USD per year

Growth

Hiring Momentum
25/100
Slowing
Open positions
4
0 opened / 0 closed in 30 days
Median time-to-fill
45 days
faster than 30% of the market
ATS activity
Every ~3 hours
Today
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%
Actively hiring for AI/ML (+3 in 30 days)

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
4 open roles 4 posted in 90 days 100% engineering $313k Avg Salary
hires for AI/ML
seen since May 2026 job postings

Jobs

$200k – $350k per year • Equity • In office • Full-Time • San Francisco
Claude
vLLM
JAX
SGLang
PyTorch
LLM
Ray
Anthropic
Post-training
Megatron-LM
DevOps
GCP
AWS
Kubernetes
Apply
$200k – $350k per year • Equity • In office • Full-Time • PhD • San Francisco
Python
Claude
JAX
PyTorch
LLM
Anthropic
Post-training
Machine Learning
Apply
$200k – $350k per year • Equity • In office • Full-Time • 5+ years exp • PhD • San Francisco
Python
Claude
vLLM
CUDA Toolkit
Reinforcement Learning
JAX
SGLang
PyTorch
LLM
CUDA
Triton
Anthropic
Machine Learning
Apply
$165k – $200k per year • Equity • In office • Full-Time • PhD • San Francisco
Python
Claude
CUDA Toolkit
Reinforcement Learning
JAX
NumPy
PyTorch
LLM
CUDA
Triton
Anthropic
Machine Learning
DevOps
GCP
Azure
AWS
Apply