Primer
primer.ai
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Products
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News
Accessible notifications and messages
How to ensure updates and messages are communicated in an inclusive way.
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Peter J. Liu (@peterjliu) on X
A distillation primer and why banning it would not halt progress of Chinese LLMs
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A Quick Primer on DuckDB, S3, and Plotly Studio
This is the easiest and fastest way to analyze and visualize large datasets
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A Primer in Post-Training Reasoning Data: What We Know About How It Works
Abstract page for arXiv paper 2606.02113: A Primer in Post-Training Reasoning Data: What We Know About How It Works
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An Elm Primer for React Developers
The fastest way for React developers to master functional programming. Elm guarantees zero runtime exceptions and teaches FP concepts that transfer everywhere.
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Weekend Update #186: A Primer On The Difference Between Long and Medium/Mid Range Strike
Examples Of Both; also, The Trump Administration Pivots, The Reason Why Is The Important Thing
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Data Fundamentals Primer
The minimum data plumbing every ML pipeline needs - samples, features and labels, the train/val/test split, text encoding (ASCII and UTF-8), and preprocessing.
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Algorhythm - Train the pattern. Practice on LeetCode.
An algorithmic-thinking gym. Interactive animations that teach the mental model behind algorithm patterns - so you spend hours less staring at problems and more time recognizing the trick.
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Tech stack
Technologies named in job postings at Primer over the last 12 months, by layer, with the share of postings for each.
Technologies in use
43
Postings analysed
5
Stack modernity
76/100AI adopter
Languages
Python
Go
Rust
Frameworks & libraries
PyTorch
Triton
Databases
Neo4j
Cloud & platforms
AWS
Azure
Kubernetes
Amazon EKS
AI & ML
LLM
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Full Primer tech stack
43 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$235k
Typical range
$220k – $250k
Open positions
2
2
Jobs
Senior
50%
Staff
50%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $220k | $220k |
| Staff | 1 | $250k | $250k |
Highest paying role
Staff Security Engineer
$250k
Normalized to USD per year
Growth
Hiring Momentum
83/100
Scaling fast
Open positions
5
2 opened / 0 closed in 30 days
ATS activity
Every ~4 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.
AI/ML
33% ▼
Security
33% ▲
Solutions
33% ▲
Activity Timeline
New location: Washington
Oct 2026
Added Zero Trust to stack
Sep 2026
Added SIEM to stack
Sep 2026
Added Okta to stack
Sep 2026
Added IAM to stack
Sep 2026
Added Go to stack
Sep 2026
Added Linux to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Triton to stack
Sep 2026
Added Tool Use to stack
Sep 2026
Added Function Calling to stack
Aug 2026
Added AI Agents to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
5
Hiring now
3
Countries
3
Busiest office
Pasadena
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Headquarters
Builds here
Office with open vacancies
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Pasadena
United States
HQ
Pasadena, CA
3 open roles 3 posted in 90 days 67% engineering 100% remote 10-50 est. staff $250k Avg Salary
hires for AI/ML, Security, Solutions
San Francisco
United States
Remote hub
San Francisco, CA
4 open roles 3 posted in 90 days 50% engineering 100% remote 10-50 est. staff $235k Avg Salary
hires for Solutions, AI/ML, Security
Washington
United States
Remote hub
Washington, DC
4 open roles 3 posted in 90 days 50% engineering 100% remote 10-50 est. staff $235k Avg Salary
hires for Solutions, AI/ML, Security
London
United Kingdom
Regional office
London
Singapore
Singapore
Regional office
Singapore
Jobs
≈ $126k – $236k per year (Estimated) • Equity • Remote (United States) • TS/SCI • 5+ years exp • Bachelor's Degree • Pasadena • San Francisco • Washington
Neo4j
AI/ML
Function Calling
AI Agents
NLP
NER
RAG
Knowledge Graph
Multi-Agent Systems
Tool Use
DevOps
Docker
Cybersecurity
FedRAMP
Apply
$175k – $250k per year • Remote (United States) • 10+ years exp • Pasadena • San Francisco • Washington
Python
Go
Terraform
CloudFormation
Azure
CI/CD
AWS
Kubernetes
Bicep
Amazon EKS
GitHub
Amazon S3
IAM
DNS
Cybersecurity
Okta
Crowdstrike
CodeQL
SOC 2
CVE
Zero Trust
Dependabot
SIEM
Apply
≈ $110k – $227k per year (Estimated) • Remote (Germany) • Top Secret
Python
NLP
Machine Learning
DevOps
Azure
AWS
Docker
Kubernetes
Linux
Apply
≈ $175k – $324k per year (Estimated) • Remote (United States) • 6+ years exp • Bachelor's Degree • Pasadena • San Francisco • Washington
Python
Rust
vLLM
Fine-tuning
Embeddings
Function Calling
AI Agents
NLP
PyTorch
LLM
RAG
Semantic Search
Triton
Post-training
Context Engineering
Semantic Search
Knowledge Graph
LLM Evaluation
Tool Use
Machine Learning
Apply
$180k – $220k per year • Remote (United States) • TS/SCI • 5+ years exp • San Francisco • Washington
Machine Learning
Apply
Financials
Total raised
$8.9M
Latest round
Grant
Funding rounds
10