Google DeepMind
deepmind.google
Actively hiring
LLM & Generative AI
AI for Science
Foundation Models
AI Research Labs
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Overview
Google DeepMind is the artificial intelligence research and engineering division of Alphabet, formed in 2023 by merging the London laboratory founded in 2010 with the Google Brain team. It builds frontier foundation models such as the Gemini family, generative media systems including Veo and Imagen, and scientific tools like AlphaFold, whose protein structure predictions earned a share of the 2024 Nobel Prize in Chemistry. The unit pairs long-horizon research on reinforcement learning and general intelligence with product delivery across Google Search, Workspace, Android and Google Cloud.
News
Google DeepMind launches institute to widen the AGI debate
The new institute aims to surface differing views between Google, Google DeepMind, and the broader global research community around AGI. "They will not always agree, and they will likely change their minds, as more data and information comes to light at t
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Report
Google DeepMind Co-Founder Shane Legg Joins Safety-First Camp in AI Debate
Google DeepMindCo-Founder Shane Legg is warning that artificial intelligence advances must not come before AI safety.
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Report
Google DeepMind researcher quits with chilling AI warning: It could 'kill us all'
A former Google DeepMind researcher has warned that artificial intelligence could "kill us all."
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I worked at Google DeepMind. You should listen to the warnings about AI Alex Turner
We must stop companies from allowing AI to self-improve into an uncontrollable level of intelligence
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A former Google DeepMind safety researcher explains the frightening difference between AI and other threats like nuclear war and asteroids
Superintelligent AI is one of many modern threats humanity faces. Former DeepMind researcher Ramana Kumar explains what could make it uniquely dangerous.
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Google DeepMind alumni are building tools to accelerate fusion power for the grid
Fusionality is developing control systems and simulation environments to help fusion power startups move faster.
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Tech stack
Technologies named in job postings at Google DeepMind over the last 12 months, by layer, with the share of postings for each.
Technologies in use
131
Postings analysed
144
Stack modernity
80/100AI adopter
Languages
Python32%
C++16%
JavaScript9%
Kotlin5%
Frameworks & libraries
PyTorch19%
JAX18%
TensorFlow16%
PyTorch C++7%
Databases
Snowflake1%
Cloud & platforms
Figma2%
Hugging Face2%
Origami Studio1%
Linux1%
AI & ML
LLM22%
Gemma1%
VLM1%
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Full Google DeepMind tech stack
131 technologies · by team · pay by technology · changes · similar stacks
Products
AlphaGo
AlphaGo was the reinforcement learning system that became the first program to defeat a professional Go champion. Its successors AlphaZero and MuZero generalised the approach to chess, shogi and Atari without human game data.
deepmind.google
Imagen
Imagen is the text-to-image model family developed by Google DeepMind for photorealistic and illustrative generation. It is distributed through Gemini, Google Cloud and the creative tooling inside Google Workspace.
deepmind.google
Veo
Veo is Google DeepMind's generative video model that produces high-resolution clips with synchronised audio from text or image prompts. It is offered through the Gemini app, the Flow filmmaking tool and Vertex AI.
deepmind.google
AlphaFold
AlphaFold predicts the three-dimensional structure of proteins and their interactions from amino acid sequences. Its open database of predicted structures is used by millions of researchers and earned its creators a share of the 2024 Nobel Prize in Chemistry.
deepmind.google
Gemini
Gemini is Google DeepMind's family of multimodal foundation models that handle text, images, audio, video and code in one context window. It powers the Gemini assistant, Google Search AI features and the Vertex AI developer platform.
gemini.google.com
People
Demis Hassabis
Co-Founder & Chief Executive Officer
Demis Hassabis co-founded DeepMind in 2010 and leads Google DeepMind as chief executive. A former chess prodigy and neuroscientist, he shared the 2024 Nobel Prize in Chemistry for the AlphaFold work.
Shane Legg
Co-Founder & Chief AGI Scientist
Shane Legg co-founded DeepMind and leads its long-range research on artificial general intelligence. He helped popularise the term AGI and works on measuring and forecasting machine intelligence.
Mustafa Suleyman
Co-Founder
Mustafa Suleyman co-founded DeepMind and led its applied and policy work before departing to found Inflection AI. He now heads Microsoft AI.
Koray Kavukcuoglu
Chief Technology Officer
Koray Kavukcuoglu oversees research engineering and the technical direction of Google DeepMind's model programmes. He joined DeepMind in 2012 and previously worked on deep learning at New York University.
Lila Ibrahim
Chief Operating Officer
Lila Ibrahim runs operations, responsibility processes and organisational scaling at Google DeepMind. She previously held leadership roles at Intel, Kleiner Perkins and Coursera.
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
91/100
Scaling fast
Open positions
97
81 opened / 55 closed in 30 days
Median time-to-fill
30 days
faster than 41% of the market
ATS activity
Every ~4 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.
AI/ML
38%
Product
17% ▼
Backend
11% ▲
Data Science
5% ▲
Robotics
5% ▼
Science & Research
4% ▲
Actively hiring for AI/ML (+41 in 30 days)
Activity Timeline
Added Text-to-Speech to stack
Oct 2026
Added OWASP Top 10 to stack
Oct 2026
Added LLM Guardrails to stack
Oct 2026
Added Chain-of-Thought to stack
Oct 2026
Added Anomaly Detection to stack
Oct 2026
Added Mixture of Experts to stack
Oct 2026
Added Time Series Forecasting to stack
Oct 2026
Added SciPy to stack
Oct 2026
Added Siemens Calibre to stack
Oct 2026
Added Google Workspace to stack
Oct 2026
New location: Tokyo
Oct 2026
Added Sensor Fusion to stack
Oct 2026
Offices
Where the company hires and what each office is for
Cities
8
Hiring now
8
Countries
5
Busiest office
London
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Headquarters
Builds here
Office with open vacancies
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London
United Kingdom
HQ
22 open roles 32 posted in 90 days 68% engineering 200-500 est. staff
hires for AI/ML, Robotics, Product
Mountain View
United States
Regional office
55 open roles 85 posted in 90 days 58% engineering 1000-5000 est. staff
hires for AI/ML, Product, Backend
New York
United States
Engineering / R&D
7 open roles 10 posted in 90 days 71% engineering 50-200 est. staff
hires for AI/ML, Product, Legal
Cambridge
United States
Engineering / R&D
5 open roles 9 posted in 90 days 100% engineering 50-200 est. staff
hires for Robotics, Backend, Hardware
San Francisco
United States
Regional office
3 open roles 7 posted in 90 days 33% engineering 50-200 est. staff
hires for Data Science, Leadership, Design
Bengaluru
India
2 open roles 2 posted in 90 days 100% engineering 10-50 est. staff
hires for AI/ML, Backend
Tokyo
Japan
2 open roles 2 posted in 90 days 100% engineering 10-50 est. staff
hires for AI/ML
Paris
France
1 open roles 2 posted in 90 days 100% engineering 10-50 est. staff
hires for Backend
Earlier presence
Zurich, Switzerland
Singapore, Singapore
Los Angeles, United States
Kirkland, United States
Tel Aviv, Israel
Jobs
In office • Master's Degree • London
Python
C++
LLM
Post-training
Machine Learning
Apply
≈ $120k – $265k per year (Estimated) • In office • 2+ years exp • PhD • New York
Python
Scikit-learn
Pandas
NumPy
Apply
≈ $173k – $325k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Mountain View
Reinforcement Learning
Multimodal AI
Gemini
LLM
Recommender Systems
Apply
≈ $206k – $375k per year (Estimated) • In office • 8+ years exp • Bachelor's Degree • Mountain View
JavaScript
TypeScript
Node JS
AI Agents
Gemini
Edge AI
Machine Learning
Frontend
Angular
React.js
Apply
≈ $133k – $295k per year (Estimated) • In office • 2+ years exp • Bachelor's Degree • Mountain View
Python
C++
PyTorch C++
AI/ML
JAX
PyTorch
XLA
Machine Learning
Apply
≈ $129k – $284k per year (Estimated) • In office • 2+ years exp • Master's Degree • Mountain View
Python
C++
PyTorch C++
AI/ML
JAX
NLP
PyTorch
Gemini
LLM
Computer Use
Machine Learning
Apply
≈ $211k – $430k per year (Estimated) • In office • 4+ years exp • PhD • Mountain View
JAX
AI Agents
PyTorch
Gemini
Flax
Post-training
Pre-training
Machine Learning
Apply
≈ $180k – $343k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Mountain View
Fine-tuning
AI Agents
Gemini
Red Teaming
Machine Learning
Apply
≈ $133k – $262k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Mountain View
Multimodal AI
Gemini
Apply
≈ $170k – $310k per year (Estimated) • In office • Contractor • 8+ years exp • Bachelor's Degree • Mountain View
Multimodal AI
Gemini
LLM
DevOps
Platform Engineering
Apply
In office • 3+ years exp • Bachelor's Degree • London
Reinforcement Learning
Machine Learning
Apply
≈ $171k – $325k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Mountain View
Fine-tuning
AI Agents
Gemini
LLM
Cybersecurity
Defense in Depth
Apply
Financials
Total raised
$500M
Latest round
Acquired
Funding rounds
1
Investors
3
Funding rounds
| Round | Announced | Amount |
|---|---|---|
| Acquired | 2014 | $500M |
Key Investors
Horizons Ventures
Horizons Ventures, the technology investment arm of Li Ka-shing, funded DeepMind in its early years. The Hong Kong firm focuses on disruptive science and technology startups.
horizonsventures.com
Founders Fund
Founders Fund was an early venture backer of DeepMind before the Google acquisition. The San Francisco firm invests in frontier technology and deep science companies.
foundersfund.com
Google
Google acquired DeepMind in 2014 and remains its owner through Alphabet. The parent supplies the compute, distribution and product surfaces for the laboratory's models.
google.com