Thinking Machines Lab tech stack
Thinking Machines Lab builds mostly with Python, Rust, JavaScript, C++. Its stack also includes PyTorch, JAX, Kubernetes, Linux. Python is named in 47 of the 74 job postings Thinking Machines Lab published in the last 12 months (64%). Counted by Alion from the job postings of Thinking Machines Lab, updated Nov 11, 2026.
What programming languages does Thinking Machines Lab use?
Python is named in 64% of job postings at Thinking Machines Lab, followed by Rust (31%), JavaScript (7%), C++ (5%).
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What frameworks and libraries does Thinking Machines Lab use?
PyTorch is named in 36% of job postings at Thinking Machines Lab, followed by JAX (32%), TensorFlow (23%), SGLang (9%).
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What databases does Thinking Machines Lab use?
ClickHouse is named in 3% of job postings at Thinking Machines Lab, followed by Delta Lake (3%), Google BigQuery (1%), Redis (1%).
What cloud and platforms does Thinking Machines Lab use?
Kubernetes is named in 27% of job postings at Thinking Machines Lab, followed by Linux (12%), vLLM (9%), Spark (5%).
Kubernetes
20 27%
vLLM
7 9%
Spark
4 5%
Apache Kafka
3 4%
AWS
2 3%
Airflow
2 3%
Buildkite
2 3%
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What developer tools does Thinking Machines Lab use?
SLURM is named in 11% of job postings at Thinking Machines Lab, followed by Terraform (7%), TPU (7%), Claude Code (3%).
SLURM
8 11%
Terraform
5 7%
Claude Code
2 3%
Cursor
2 3%
Git
2 3%
Jupyter Notebook
2 3%
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What AI and ML technologies does Thinking Machines Lab use?
LLM is named in 15% of job postings at Thinking Machines Lab, followed by LoRA (7%), PEFT (7%), ChatGPT (1%).
Which engineering practices does Thinking Machines Lab ask for?
Machine Learning is named in 42% of job postings at Thinking Machines Lab, followed by Post-training (27%), Fine-tuning (22%), Reinforcement Learning (14%).
Fine-tuning
16 22%
Reinforcement Learning
10 14%
Multimodal AI
9 12%
AI Agents
8 11%
CI/CD
7 9%
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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
22 postingsAI/ML
18 postingsDevOps
8 postingsWeb3
3 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 80 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 365 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Thinking Machines Lab apart
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 (64%), Rust (31%), JavaScript (7%), C++ (5%), TypeScript (5%), as a share of the 74 postings of the last 12 months.
Does Thinking Machines Lab use PyTorch?
Yes. PyTorch is named in 27 of 74 job postings (36%) and required in 21 of them.
What cloud and platforms does Thinking Machines Lab use?
The cloud and platforms named in Thinking Machines Lab job postings are Kubernetes (20), Linux (9), vLLM (7) (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 (20), Rust (15), React.js (4), TypeScript (4), out of 22 postings in the last 12 months.
Is the Thinking Machines Lab tech stack changing?
Yes. Reward Modeling, C++, SFT, ClickHouse 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 80 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 74 postings of the last 12 months and were updated on Nov 11, 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: 109 technologies from 74 job postings", as of Nov 11, 2026. https://alion.io/company/thinking-machines-lab/technologies