Thinking Machines Lab tech stack
Thinking Machines Lab builds mostly with Python, Rust, JavaScript, TypeScript. Its stack also includes PyTorch, JAX, Kubernetes, Linux. Python is named in 38 of the 56 job postings Thinking Machines Lab published in the last 12 months (68%). Counted by Alion from the job postings of Thinking Machines Lab, updated Sep 27, 2026.
What programming languages does Thinking Machines Lab use?
Python is named in 68% of job postings at Thinking Machines Lab, followed by Rust (36%), JavaScript (9%), TypeScript (7%).
Python
38 68%
Rust
20 36%
JavaScript
5 9%
TypeScript
4 7%
C++
2 4%
Clarity
2 4%
Go
1 2%
Node JS
1 2%
What frameworks and libraries does Thinking Machines Lab use?
PyTorch is named in 45% of job postings at Thinking Machines Lab, followed by JAX (39%), TensorFlow (29%), NCCL (9%).
Show all (17)
What databases does Thinking Machines Lab use?
ClickHouse is named in 2% of job postings at Thinking Machines Lab, followed by Delta Lake (2%), Redis (2%), DynamoDB (2%).
What cloud and platforms does Thinking Machines Lab use?
Kubernetes is named in 29% of job postings at Thinking Machines Lab, followed by Linux (16%), vLLM (9%), CUDA Toolkit (7%).
Kubernetes
16 29%
vLLM
5 9%
CUDA Toolkit
4 7%
Spark
3 5%
Buildkite
2 4%
GitHub
2 4%
GitHub Actions
2 4%
Show all (16)
What developer tools does Thinking Machines Lab use?
SLURM is named in 13% of job postings at Thinking Machines Lab, followed by Terraform (7%), Claude Code (4%), Cursor (4%).
SLURM
7 13%
Terraform
4 7%
Claude Code
2 4%
Cursor
2 4%
Git
2 4%
Docker
2 4%
Show all (14)
What AI and ML technologies does Thinking Machines Lab use?
LLM is named in 14% of job postings at Thinking Machines Lab, followed by LoRA (9%), PEFT (9%), ChatGPT (2%).
Which engineering practices does Thinking Machines Lab ask for?
Machine Learning is named in 43% of job postings at Thinking Machines Lab, followed by Post-training (27%), Fine-tuning (21%), AI Agents (16%).
Fine-tuning
12 21%
AI Agents
9 16%
CI/CD
7 13%
Multimodal AI
6 11%
Reinforcement Learning
6 11%
RLHF
6 11%
Show all (38)
What does each Thinking Machines Lab team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Backend
17 postingsAI/ML
17 postingsDevOps
7 postingsHow does your stack fit Thinking Machines Lab?
How is the Thinking Machines Lab stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Thinking Machines Lab stack?
Thinking Machines Lab scores 79 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 5; legacy ones: 0.
How common is the Thinking Machines Lab stack in its industry?
Share of the 268 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Thinking Machines Lab
Questions about the Thinking Machines Lab tech stack
What programming languages does Thinking Machines Lab use?
The languages named in Thinking Machines Lab job postings are Python (68%), Rust (36%), JavaScript (9%), TypeScript (7%), C++ (4%), as a share of the 56 postings of the last 12 months.
Does Thinking Machines Lab use PyTorch?
Yes. PyTorch is named in 25 of 56 job postings (45%) and required in 19 of them.
What cloud and platforms does Thinking Machines Lab use?
The cloud and platforms named in Thinking Machines Lab job postings are Kubernetes (16), Linux (9), vLLM (5) (postings in brackets).
What skills do you need for a Backend job at Thinking Machines Lab?
Backend postings at Thinking Machines Lab most often require Python (15), Rust (14), React.js (4), TypeScript (4), out of 17 postings in the last 12 months.
Is the Thinking Machines Lab tech stack changing?
Yes. Function Calling, Tool Use, C++, SFT first appeared in Thinking Machines Lab job postings in the last six months.
How modern is the Thinking Machines Lab tech stack?
Thinking Machines Lab scores 79 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 5; legacy ones: 0.
How does Alion know the Thinking Machines Lab tech stack?
Alion reads every job posting Thinking Machines Lab publishes and tags the technologies each one names. The figures on this page count the 56 postings of the last 12 months and were updated on Sep 27, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Thinking Machines Lab tech stack: 102 technologies from 56 job postings", as of Sep 27, 2026. https://alion.io/company/thinking-machines-lab/technologies