Kalpa Labs
kalpalabs.ai
Actively hiring
View 1 job
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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Team
11-50
employees, estimated range
Hiring now
1
+1 posted in 30 days
Backers
1
Y Combinator
Momentum
13/100
hiring for its size
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
Oct 2025
Went through Y Combinator
Tractionpublic signals, read monthly
Web presence
top 6%
of 133.2M domains by links, Common Crawl
Hacker News stories
1
best: 1 points
Backed byfrom the funds' portfolios and accelerator catalogs
Y Combinator Similar startupsby what they do, their industry and backers
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Tech stack
Technologies named in job postings at Kalpa Labs over the last 12 months, by layer, with the share of postings for each.
Technologies in use
13
Postings analysed
1
Stack modernity
61/100AI adopter
Cloud & platforms
arXiv
AI & ML
LLM
Practices & domains
In-Context Learning
Knowledge Distillation
LLM Evaluation
Machine Learning
Model Distillation
Multimodal AI
Post-training
Pre-training
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Salary insights
Compensation ranges based on this company's open jobs
Median
$250k
Typical range
$250k
Open positions
1
1
Jobs
Middle
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Middle | 1 | $250k | $250k |
Highest paying role
Founding ML Research Engineer
$250k
Normalized to USD per year
Growth
Hiring Momentum
53/100
Stable
Open positions
1
1 opened / 0 closed in 30 days
ATS activity
Every ~8 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% ▲
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
1 open roles 1 posted in 90 days 100% engineering 10-50 est. staff $250k Avg Salary
hires for AI/ML
Jobs
$180k – $250k per year • Equity 0.5–1% • In office • Full-Time • 3+ years exp • San Francisco
RLHF
Multimodal AI
Knowledge Distillation
LLM
In-Context Learning
Tokenization
SFT
Post-training
Pre-training
LLM Evaluation
arXiv
Model Distillation
Machine Learning
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