burnt
getburnt.ai
Actively hiring
Artificial Intelligence
AI Agents
Food Logistics
As featured in
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Team
11-50
employees, estimated range
Hiring now
4
open roles
Backers
2
Y Combinator, Scribble Ventures
Momentum
15/100
in the news
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
Jun 2025
Went through Y Combinator
Tractionpublic signals, read monthly
Web presence
top 24%
of 133.2M domains by links, Common Crawl
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator 
Scribble Ventures Similar startupsby what they do, their industry and backers
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How burnt hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
burnt scores B on the Alion truth index (A is best, E worst), measured over 3 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% 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
News
How to Clean a Burnt Pan and Finally Get That Layer of Grime Off, According to Cleaners
Use two inexpensive and natural pantry staples to lift burnt-on debris from cooking pans so you don't have to get rid of them.
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Report
Burnt out on a three-day week
She works three days a week. She's still burnt out. When rest doesn't fix the exhaustion, the workload was never the problem.
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Report
Your coding agent spends 26,000 tokens before it reads your prompt: Comparing MCP and CLI - Blocks.ai Blog
Vibe coding won the adoption argument, then quietly created a new bottleneck nobody budgeted for. A token-by-token look at what MCP servers, CLIs, and
Read more
Report
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Tech stack
Technologies named in job postings at burnt over the last 12 months, by layer, with the share of postings for each.
Technologies in use
23
Postings analysed
1
Stack modernity
90/100AI adopter
Languages
Python
JavaScript
TypeScript
Frameworks & libraries
Prophet
React.js
Statsmodels
TRL
Transformers
Databases
Neo4j
Cloud & platforms
AWS
AWS Step Functions
Amazon S3
Amazon SageMaker
Spark
Hugging Face
Kubeflow
MLFlow
AI & ML
LoRA
PEFT
LLM
Practices & domains
Knowledge Graph
Time Series Forecasting
Fine-tuning
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Salary insights
Compensation ranges based on this company's open jobs
Median
$250k
Typical range
$75k – $275k
Open positions
3
3
Jobs
Junior
33.3%
Staff
66.7%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $75k | $75k |
| Staff | 2 | $263k | $250k – $275k |
Highest paying role
Member of Technical Staff [AI/ML Engineer]
$275k
Normalized to USD per year
Growth
Hiring Momentum
28/100
Slowing
Open positions
4
0 opened / 0 closed in 30 days
ATS activity
Every ~2 days
09/29/2026
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% ▲
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
Regional office
4 open roles 1 posted in 90 days 50% engineering 10-50 est. staff $200k Avg Salary
hires for AI/ML, Operations, Early Careers
Jobs
$150k – $275k per year • In office • Full-Time • 5+ years exp • San Francisco
Python
JavaScript
TypeScript
Neo4j
AI/ML
Spark
LoRA
MLFlow
Fine-tuning
PEFT
TRL
Prophet
Kubeflow
Transformers
LLM
Statsmodels
Time Series Forecasting
Hugging Face
Amazon SageMaker
Knowledge Graph
Frontend
React.js
DevOps
AWS
Amazon S3
AWS Step Functions
Apply
$150k – $250k per year • In office • Full-Time • 5+ years exp • San Francisco
JavaScript
TypeScript
Node JS
Nest.JS
AI/ML
Copilot
Cursor
LangChain
Claude Code
LlamaIndex
Prompt Engineering
AI Agents
LLM
World Models
Frontend
React.js
DevOps
Terraform
OpenTelemetry
Datadog
AWS
AWS Lambda
Amazon S3
Amazon ECS
Amazon CloudWatch
Apply