Google DeepMind tech stack
Google DeepMind builds mostly with Python, C++, JavaScript, TypeScript. Its stack also includes PyTorch, JAX, Hugging Face, Spark. Python is named in 75 of the 230 job postings Google DeepMind published in the last 12 months (33%). Counted by Alion from the job postings of Google DeepMind, updated Nov 12, 2026.
What programming languages does Google DeepMind use?
Python is named in 33% of job postings at Google DeepMind, followed by C++ (16%), JavaScript (7%), TypeScript (4%).
C++ 
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What frameworks and libraries does Google DeepMind use?
PyTorch is named in 19% of job postings at Google DeepMind, followed by JAX (18%), TensorFlow (15%), TensorFlow C++ (4%).
PyTorch
43 19%
JAX
42 18%
TensorFlow
34 15%
TensorFlow C++
10 4%
React.js
6 3%
Transformers
6 3%
NumPy
4 2%
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What databases does Google DeepMind use?
Snowflake is named in 1% of job postings at Google DeepMind, followed by PostgreSQL (<1%).
Snowflake
2 1%
PostgreSQL
1 <1%
What cloud and platforms does Google DeepMind use?
Hugging Face is named in 3% of job postings at Google DeepMind, followed by Spark (2%), vLLM (2%), Figma (1%).
Spark
4 2%
vLLM
4 2%
Figma
3 1%
Airflow
2 1%
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What developer tools does Google DeepMind use?
Cadence Innovus is named in 1% of job postings at Google DeepMind, followed by ProtoPie (1%), Sketch (1%), Synopsys Fusion Compiler (1%).
Cadence Innovus
2 1%
ProtoPie
2 1%
Sketch
2 1%
Gazebo
2 1%
Isaac Sim
2 1%
Terraform
2 1%
Ansible
1 <1%
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What AI and ML technologies does Google DeepMind use?
LLM is named in 22% of job postings at Google DeepMind, followed by Gemma (2%), VLM (<1%).
Which engineering practices does Google DeepMind ask for?
Machine Learning is named in 56% of job postings at Google DeepMind, followed by AI Agents (34%), Reinforcement Learning (26%), Multimodal AI (23%).
AI Agents
79 34%
Reinforcement Learning
60 26%
Multimodal AI
52 23%
Fine-tuning
32 14%
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And 30 more, each named in fewer postings.
What does each Google DeepMind team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
95 postingsProduct
40 postingsBackend
27 postingsDesign
9 postingsData Science
8 postingsHow does your stack fit Google DeepMind?
How is the Google DeepMind 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 Google DeepMind stack?
Google DeepMind 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: 3; legacy ones: 0.
How common is the Google DeepMind stack in its industry?
Share of the 524 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Google DeepMind apart
Google DeepMind products in its job postings
Postings at Google DeepMind name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like Google DeepMind
Questions about the Google DeepMind tech stack
What programming languages does Google DeepMind use?
The languages named in Google DeepMind job postings are Python (33%), C++ (16%), JavaScript (7%), TypeScript (4%), Kotlin (3%), as a share of the 230 postings of the last 12 months.
Does Google DeepMind use PyTorch?
Yes. PyTorch is named in 43 of 230 job postings (19%) and required in 26 of them.
What cloud and platforms does Google DeepMind use?
The cloud and platforms named in Google DeepMind job postings are Hugging Face (7), Spark (4), vLLM (4) (postings in brackets).
What skills do you need for a AI/ML job at Google DeepMind?
AI/ML postings at Google DeepMind most often require Python (33), JAX (27), PyTorch (24), TensorFlow (19), out of 95 postings in the last 12 months.
Is the Google DeepMind tech stack changing?
Yes. Triton, Terraform, SLI/SLO/SLA, Node JS first appeared in Google DeepMind job postings in the last six months.
How modern is the Google DeepMind tech stack?
Google DeepMind 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: 3; legacy ones: 0.
How does Alion know the Google DeepMind tech stack?
Alion reads every job posting Google DeepMind publishes and tags the technologies each one names. The figures on this page count the 230 postings of the last 12 months and were updated on Nov 12, 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, "Google DeepMind tech stack: 155 technologies from 230 job postings", as of Nov 12, 2026. https://alion.io/company/deepmind/technologies