Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials
Overview
Thinking Machines Lab is an artificial intelligence research and product company based in San Francisco and founded in 2025. The company develops multimodal AI systems and open-weights models, such as Inkling, alongside developer tools like Tinker for model fine-tuning. It operates as a public benefit corporation focused on human-AI collaboration and open science, supported by significant venture capital investment.
News
A Safe Path to Open Weights
Abstract: Safe open-weight models are public goods, as they put AI development and safety work in many hands and make training choices inspectable. Open models also carry real misuse risks, and release is irreversible. To release safely, we must consider
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Report
Inkling-Small
An open-weights model that matches Inkling at a quarter of the size: multimodal, Mixture-of-Experts, with controllable reasoning effort. Fine-tune it on Tinker.
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Report
Inkling Model Card
Model card for Inkling, a 975B-parameter (41B active) open-weights multimodal model: intended uses, model properties, training, evaluations and safety.
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Report
Inkling - Open-Weights 975B Parameter LLM
Efficient open-weights models that reason over text, image, and audio. Fine-tune them on Tinker.
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Report
Inkling: Our Open-Weights Model
Our first open-weights model: multimodal, Mixture-of-Experts, with controllable reasoning effort. Available to fine-tune on Tinker.
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Report
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Technologies
Tech DNA
Python
Rust
JavaScript
PyTorch
TensorFlow
Ray
Delta Lake
DynamoDB
ClickHouse
AWS
AWS Lambda
API Gateway
LLM
LoRA
PEFT
AI/ML
Python
C++
PyTorch
JAX
Kubernetes
TensorFlow
LLM
Post-training
SLURM
Multimodal AI
CUDA Toolkit
Pre-training
NCCL
CI/CD
Ray
DeepSpeed
SGLang
vLLM
Reinforcement Learning
AI Agents
Terraform
Spark
Fine-tuning
RLHF
Quantization
Megatron-LM
TPU
SRE
Airflow
dbt
LoRA
PEFT
Claude
Claude Code
Cursor
ChatGPT
Self-Supervised Learning
Synthetic Data
CUDA
Edge AI
Human-in-the-Loop
DPO
InfiniBand
PPO
Mixture of Experts
OpenAI Codex
TGI
NVLink
Speech Recognition
Text-to-Speech
Delta Lake
DynamoDB
ClickHouse
Redis
PyTorch C++
AWS
AWS Lambda
Git
GitOps
Platform Engineering
Progressive Delivery
Buildkite
Docker
GitHub Actions
SLI/SLO/SLA
HPC
IAM
API Gateway
GitHub
Jupyter Notebook
Knowledge Distillation
FSDP
GRPO
SFT
Grafana
OpenTelemetry
Prometheus
Security
Rust
JavaScript
Go
Zero Trust
Threat Modeling
osquery
Least Privilege
Okta
Other
TypeScript
Clarity
Node JS
React.js
Apache Kafka
Bootstrap
Reinforcement Learning
Google Workspace
Slack
Stack modernity
80/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
19 jobs
Required
$475k
+164% vs market
PyTorch
13 jobs
Required
$475k
+111% vs market
JAX
11 jobs
Required
$475k
+72% vs market
Rust
11 jobs
Required
$475k
+107% vs market
Kubernetes
9 jobs
Required
$475k
+166% vs market
TensorFlow
7 jobs
Required
$475k
+132% vs market
LLM
5 jobs
Required
$475k
+138% vs market
Post-training
5 jobs
Required
$475k
+58% vs market
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
20%
JavaScript
15%
CI/CD
15%
AWS
15%
Kubernetes
14%
TypeScript
13%
Share of companies in the same industry that use each technology.
Stack changes
SFT
Aug 2026
GRPO
Aug 2026
FSDP
Aug 2026
Text-to-Speech
Aug 2026
Speech Recognition
Aug 2026
NVLink
Aug 2026
TGI
Aug 2026
OpenAI Codex
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
NVIDIA
Jobgether
Adobe
Snowflake
CrowdStrike
ServiceNow
Salary insights
Compensation ranges based on this company's open jobs
Median
$475k
Typical range
$300k – $500k
Open positions
28
8
Jobs
Junior
25%
Middle
25%
Senior
12.5%
Staff
37.5%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 2 | $475k | $475k |
| Middle | 2 | $475k | $475k |
| Senior | 1 | $475k | $475k |
| Staff | 3 | $360k | $300k – $500k |
Highest paying role
Engineering Manager
$500k
Normalized to USD per year
Growth
Hiring Momentum
66/100
Growing
Open positions
29
2 opened / 3 closed in 30 days
Median time-to-fill
23 days
faster than 50% of the market
ATS activity
Every ~3 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.
Backend
35% ▼
AI/ML
32% ▲
DevOps
18% ▲
Data Science
3% ▲
Networking
3% ▼
Product
3% ▲
Actively hiring for AI/ML (+11 in 30 days)
Activity Timeline
New location: New York
Aug 2026
Added SFT to stack
Aug 2026
Added GRPO to stack
Aug 2026
Added FSDP to stack
Aug 2026
Added Text-to-Speech to stack
Aug 2026
Added Speech Recognition to stack
Aug 2026
Added NVLink to stack
Aug 2026
Added TGI to stack
Aug 2026
Added OpenAI Codex to stack
Aug 2026
Added GitHub to stack
Aug 2026
Added API Gateway to stack
Aug 2026
Added Least Privilege to stack
Aug 2026
Jobs
$300k – $475k per year • Remote/Hybrid • Full-Time • 5+ years exp • San Francisco
Apply
$300k – $475k per year • Remote/Hybrid • Full-Time • 4+ years exp • San Francisco
Python
Rust
TypeScript
JavaScript
Fine-tuning
Frontend
React.js
Apply
$350k – $475k per year • In office • Full-Time • San Francisco • New York
Fine-tuning
LoRA
PEFT
DevOps
CI/CD
Kubernetes
SRE
Apply
$350k – $475k per year • In office • Full-Time • 4+ years exp • San Francisco • New York
C++
Python
PyTorch C++
AI/ML
PyTorch
Ray
Reinforcement Learning
RLHF
DPO
InfiniBand
NCCL
Post-training
PPO
TPU
DevOps
Kubernetes
SLURM
SRE
Apply
$350k – $475k per year • In office • Full-Time • San Francisco • New York
CUDA
CUDA Toolkit
NCCL
Apply
≈ $232k – $508k per year (Estimated) • Remote/Hybrid • Full-Time • PhD • San Francisco
Python
JAX
LLM
PyTorch
Reinforcement Learning
TensorFlow
Post-training
AI Agents
Apply
$350k – $475k per year • Remote/Hybrid • Full-Time • PhD • San Francisco
Python
JAX
PyTorch
TensorFlow
Pre-training
Apply
$350k – $475k per year • Remote/Hybrid • Full-Time • PhD • San Francisco
Python
JAX
Multimodal AI
PyTorch
TensorFlow
Human-in-the-Loop
Pre-training
Apply
$350k – $475k per year • Remote/Hybrid • Full-Time • PhD • San Francisco
Python
JAX
PyTorch
RLHF
TensorFlow
Post-training
Apply
$300k – $475k per year • Remote/Hybrid • Full-Time • 2+ years exp • Bachelor's Degree • San Francisco
Python
Rust
TypeScript
JavaScript
ClickHouse
Redis
Frontend
React.js
Apply
$300k – $475k per year • In office • Full-Time • 2+ years exp • Bachelor's Degree • San Francisco
Python
Rust
TypeScript
JavaScript
Multimodal AI
Synthetic Data
Post-training
Pre-training
Frontend
React.js
Apply
$300k – $450k per year • Remote/Hybrid • Full-Time • San Francisco
Python
Rust
AI Agents
DevOps
Kubernetes
Cybersecurity
Threat Modeling
Apply
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