Google DeepMind tech stack
Google DeepMind builds mostly with Python, C++, JavaScript, Kotlin. Its stack also includes TensorFlow, PyTorch, Figma, Hugging Face. Python is named in 27 of the 75 job postings Google DeepMind published in the last 12 months (36%). Counted by Alion from the job postings of Google DeepMind, updated Sep 28, 2026.
What programming languages does Google DeepMind use?
Python is named in 36% of job postings at Google DeepMind, followed by C++ (17%), JavaScript (12%), Kotlin (8%).
Python
27 36%
C++
13 17%
JavaScript
9 12%
Kotlin
6 8%
Swift
5 7%
TypeScript
3 4%
Objective-C
3 4%
C#
2 3%
Show all (16)
What frameworks and libraries does Google DeepMind use?
TensorFlow is named in 24% of job postings at Google DeepMind, followed by PyTorch (23%), JAX (19%), PyTorch C++ (7%).
TensorFlow
18 24%
PyTorch
17 23%
JAX
14 19%
PyTorch C++
5 7%
TensorFlow C++
5 7%
React.js
4 5%
Transformers
3 4%
NumPy
2 3%
Show all (20)
What cloud and platforms does Google DeepMind use?
Figma is named in 4% of job postings at Google DeepMind, followed by Hugging Face (4%), Origami Studio (3%), Framer (3%).
Figma
3 4%
Framer
2 3%
Spark
1 1%
CUDA Toolkit
1 1%
What developer tools does Google DeepMind use?
ProtoPie is named in 3% of job postings at Google DeepMind, followed by Sketch (3%), Altium Designer (1%), Cursor (1%).
What AI and ML technologies does Google DeepMind use?
LLM is named in 20% of job postings at Google DeepMind.
LLM
15 20%
Which engineering practices does Google DeepMind ask for?
Machine Learning is named in 65% of job postings at Google DeepMind, followed by AI Agents (33%), Multimodal AI (29%), Reinforcement Learning (28%).
AI Agents
25 33%
Multimodal AI
22 29%
Reinforcement Learning
21 28%
Fine-tuning
13 17%
Show all (42)
And 2 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
45 postingsBackend
10 postingsDesign
5 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 70 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the Google DeepMind stack in its industry?
Share of the 433 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 (36%), C++ (17%), JavaScript (12%), Kotlin (8%), Swift (7%), as a share of the 75 postings of the last 12 months.
Does Google DeepMind use TensorFlow?
Yes. TensorFlow is named in 18 of 75 job postings (24%) and required in 13 of them.
What cloud and platforms does Google DeepMind use?
The cloud and platforms named in Google DeepMind job postings are Figma (3), Hugging Face (3), Origami Studio (2) (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 (16), TensorFlow (12), JAX (11), PyTorch (11), out of 45 postings in the last 12 months.
Is the Google DeepMind tech stack changing?
Yes. Julia, Embodied AI, Knowledge Distillation, Red Teaming first appeared in Google DeepMind job postings in the last six months.
How modern is the Google DeepMind tech stack?
Google DeepMind scores 70 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; 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 75 postings of the last 12 months and were updated on Sep 28, 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: 93 technologies from 75 job postings", as of Sep 28, 2026. https://alion.io/company/deepmind/technologies