Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Overview

Adaption is building adaptive intelligence that continually learns. Efficient, evolving AI for any industry or language.

News

News Adaption 3 months ago
Beyond Text: Adaptive Data for the Multimodal Era
Adaptive Data is a multimodal data optimization platform. It shapes and prepares text, document, and image datasets for model training across 242 languages.
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Report
News Adaption 4 months ago
AutoScientist: Automating the Science of Model Training
AutoScientist automates the full model training loop, co-optimizing data and recipes until your model converges. Outperforms human-configured training by 35% on average.
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Report
News Fortune 7 months ago
Former Cohere execs Sara Hooker and Sudip Roy secure $50 million seed round for their new startup Adaption Labs
The startup is working on AI that can learn continuously and is less costly to run.
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Report

Technologies

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Tech DNA
Python
C++
Rust
PyTorch
TensorFlow
CUDA
AI/ML
Python
C++
Fine-tuning
JAX
PyTorch
RLHF
TensorFlow
CUDA
CUDA Toolkit
KV Cache
NCCL
Quantization
SGLang
Speculative Decoding
TensorRT-LLM
vLLM
TensorRT
Synthetic Data
Reinforcement Learning
Machine Learning
Platform Engineering
Docker
Grafana
OpenTelemetry
Other
Rust
SOC 2
LinkedIn
Stack modernity Modern
67/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python 5 jobs Required
Fine-tuning 3 jobs Required
RLHF 2 jobs Required
JAX 2 jobs Required
TensorFlow 2 jobs Required
PyTorch 2 jobs Required
Rust 1 job Required
C++ 1 job Required
Salary medians are calculated from this company's open jobs and compared with the market.
Stack changes
Machine Learning Sep 2026
Reinforcement Learning Sep 2026
OpenTelemetry Sep 2026
Grafana Sep 2026
Docker Sep 2026
Synthetic Data Sep 2026
TensorFlow Sep 2026
RLHF Sep 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.

Growth

Hiring Momentum
36/100
Slowing
Open positions
5
0 opened / 0 closed in 30 days
Median time-to-fill
31 days
faster than 39% 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
60%
DevOps
20%
Sales
20%
Activity Timeline
Added Synthetic Data to stack Sep 2026
Added TensorFlow to stack Sep 2026
Added RLHF to stack Sep 2026
Added PyTorch to stack Sep 2026
Added JAX to stack Sep 2026
Added Fine-tuning to stack Sep 2026
Added LinkedIn to stack Sep 2026
Added SOC 2 to stack Sep 2026

Offices

Where the company hires and what each office is for
Cities
3
Hiring now
3
Countries
2
Busiest office
San Francisco
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San Francisco United States
HQ
4 open roles 5 posted in 90 days 100% engineering
hires for AI/ML, DevOps
seen since May 2026 job postings
New York United States
2 open roles 2 posted in 90 days 100% engineering
hires for AI/ML
seen since Mar 2026 job postings
Singapore Singapore
2 open roles 2 posted in 90 days 100% engineering
hires for AI/ML
seen since Mar 2026

Jobs

$142k – $275k per year (Estimated) • In office • Full-Time • 3+ years exp • Bachelor's Degree • New York • San Francisco
Python
Fine-tuning
Reinforcement Learning
Machine Learning
DevOps
OpenTelemetry
Docker
Grafana
Apply
$167k – $360k per year (Estimated) • In office • Full-Time • San Francisco
Python
Rust
C++
vLLM
CUDA Toolkit
Quantization
SGLang
TensorRT
TensorRT-LLM
CUDA
NCCL
Speculative Decoding
KV Cache
Apply
$130k – $288k per year (Estimated) • In office • Full-Time • San Francisco
Python
Platform Engineering
Cybersecurity
SOC 2
Apply
$179k – $326k per year (Estimated) • In office • Full-Time • 5+ years exp • PhD • San Francisco
Python
Fine-tuning
RLHF
JAX
TensorFlow
PyTorch
Apply
$143k – $276k per year (Estimated) • In office • Full-Time • 5+ years exp • PhD • New York
Python
Fine-tuning
RLHF
JAX
TensorFlow
PyTorch
Synthetic Data
Apply