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Reinforcement Learning
Computer Vision
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How Sony AI hires
Truth index
A 88/100
Ghost roles
0%
Stale roles
46%
Reposted roles
0%
Sony AI scores A on the Alion truth index (A is best, E worst), measured over 13 open roles re-checked against its own hiring board: 0% look like ghost listings, 46% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
Headquartered in Tokyo, Japan, Sony AI is the artificial intelligence research and development organization within the Sony Group. The company focuses on developing ethical AI technologies designed to augment human creativity across gaming, imaging, sensing, robotics, and scientific discovery. By collaborating with Sony’s global entertainment and technology divisions, it drives innovations - such as autonomous gaming agents and advanced computer vision tools - to enhance digital media and creative workflows.
News
Inside Project Ace: Discover the Robot Athlete That Competes With Professional Table Tennis Players
Can a robot beat a pro athlete? Meet Ace, Sony AI's robot athlete that tracks, reacts, and returns shots at 200Hz. Explore the landmark research bringing artificial intelligence out of the virtual world and onto the table tennis court.
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Report
Sony AI Announces Breakthrough Research in Real-World Artificial Intelligence and Robotics
Published in Nature, Sony AI introduces Ace: an autonomous robotic system capable of outperforming professional athletes. Learn how advanced sensors and reinforcement learning are setting a new milestone for AI in dynamic, real-world environments.
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Report
Outplaying elite table tennis players with an autonomous robot
Artificial intelligence (AI) systems now challenge or surpass human experts in many computer games1,2. Physical and real-time sports such as table tennis, however, remain a major open challenge because of their requirements for fast, precise and adversari
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Report
Outplaying elite table tennis players with an autonomous robot
Artificial intelligence (AI) systems now challenge or surpass human experts in many computer games1,2. Physical and real-time sports such as table tennis, however, remain a major open challenge because of their requirements for fast, precise and adversari
Read more
Report
DM2: Distributed Multi-Agent Reinforcement Learning via Distribution Matching
Current approaches to multi-agent cooperation rely heavily on centralized mechanisms or explicit communication protocols to ensure convergence. This paper studies the problem of distributed multi-agent learning without resorting to centralized components
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Report
Tech stack
Technologies named in job postings at Sony AI over the last 12 months, by layer, with the share of postings for each.
Technologies in use
28
Postings analysed
15
Stack modernity
73/100AI adopter
Languages
Python80%
C++33%
JavaScript13%
MATLAB7%
Frameworks & libraries
PyTorch67%
TensorFlow47%
TensorFlow C++33%
Streamlit13%
Cloud & platforms
Linux67%
Windows67%
GitHub33%
Unix20%
AI & ML
LLM20%
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Full Sony AI tech stack
28 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
43/100
Stable
Open positions
13
3 opened / 2 closed in 30 days
Median time-to-fill
97 days
faster than 13% of the market
ATS activity
Every ~1 days
10/25/2026
Hiring Dynamics
0%
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
100%
Actively hiring for AI/ML (+3 in 30 days)
Activity Timeline
Added Unix to stack
Sep 2026
Added Windows to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Linux to stack
Sep 2026
Added TensorBoard to stack
Sep 2026
Added Streamlit to stack
Sep 2026
Added SLURM to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
2
Busiest office
Tokyo
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Headquarters
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Office with open vacancies
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Tokyo
Japan
HQ
13-Tokyo - Osaki
13 open roles 7 posted in 90 days 100% engineering 500-1000 est. staff
hires for AI/ML
Barcelona
Spain
Engineering / R&D
AI Research Worldwide. One Singular Mission.
c/o OneCoWork, Carrer d'Estruc 9, Ciutat Vella, 08002 Barcelona, Spain
Jobs
In office • Internship • Master's Degree • Tokyo
Python
PyTorch
Streamlit
Machine Learning
DevOps
SLURM
Apply
In office • Internship • Tokyo
Multimodal AI
Computer Vision
Machine Learning
Apply
In office • Internship • Master's Degree • Tokyo
Computer Vision
PyTorch
TensorBoard
Machine Learning
Apply
≈ $53k – $129k per year (Estimated) • In office • Full-Time • 3+ years exp • PhD • Tokyo
Python
C++
TensorFlow C++
AI/ML
TensorFlow
PyTorch
Machine Learning
DevOps
Linux
Windows
Apply
In office • Internship • 3+ years exp • Master's Degree • Tokyo
Python
C++
TensorFlow C++
AI/ML
Multimodal AI
NLP
TensorFlow
PyTorch
LLM
Pre-training
Knowledge Graph
Machine Learning
DevOps
GitHub
Linux
Windows
Unix
Apply
In office • Full-Time • 3+ years exp • Master's Degree • Tokyo
Python
C++
TensorFlow C++
AI/ML
Multimodal AI
NLP
TensorFlow
PyTorch
LLM
Pre-training
Knowledge Graph
Machine Learning
DevOps
GitHub
Linux
Windows
Unix
Apply
In office • Full-Time • PhD • Tokyo
Python
Multimodal AI
Computer Vision
Machine Learning
DevOps
GitHub
Linux
Windows
Apply
In office • Internship • PhD • Tokyo
Python
Multimodal AI
Computer Vision
Machine Learning
DevOps
Linux
Windows
Apply
In office • Internship • Master's Degree • Tokyo
Python
JavaScript
Diffusion Models
Computer Vision
TensorFlow
PyTorch
Machine Learning
DevOps
GCP
Azure
AWS
GitHub
Linux
Windows
Apply
In office • Full-Time • Master's Degree • Tokyo
Python
JavaScript
Diffusion Models
Computer Vision
TensorFlow
PyTorch
Machine Learning
DevOps
GCP
Azure
AWS
GitHub
Linux
Windows
Apply
In office • Internship • 2+ years exp • Master's Degree • Tokyo
Python
bandit
AI/ML
Recommender Systems
Machine Learning
DevOps
GCP
Azure
AWS
Linux
Windows
Analytics
Tableau
Apply
In office • Internship • 3+ years exp • PhD • Tokyo
Python
C++
MATLAB
TensorFlow C++
AI/ML
TensorFlow
PyTorch
Machine Learning
DevOps
Linux
Windows
Apply
