Sony

HQ
Tokyo
Total Offices: 22
31,719 Total Employees
Year Founded: 1946

Sony Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers occupational accident insurance

Offers disability insurance

Offers supplemental life insurance

Offers accidental death & dismemberment insurance

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Provides family medical leave

Offers generous parental leave

Offers performance bonuses

Offers employee discounts

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers generous PTO

Provides paid sick days

Provides paid holidays

Company Culture

Offers a remote work program

Offers diversity-based Employee Resource Groups

Career Growth + Development

Provides tuition assistance

Recently posted jobs

15 Days AgoSaved
Remote
Osaki, Owando, Cuvette, COG
Hardware • Information Technology
Research and develop machine learning algorithms, propose customer value through data science, build prototype applications, collaborate with Sony business divisions, analyze commercial product data, and publish research papers. The role focuses on personalization, user engagement, behavioral insights, recommender systems, causal inference, and human-centered data science across entertainment, financial, sports, and electronics services.
Hardware • Information Technology
Research novel generative and protective AI algorithms for video, sound, 3D geometry, and human motion creation. Investigate ethical issues in generative models, including memorization detection, mitigation, concept erasure, and data attribution. Implement innovative deep-learning approaches, analyze results, collaborate with scientists and engineers, and publish findings at top-tier conferences.
15 Days AgoSaved
In-Office
Tokyo, JPN
Hardware • Information Technology
Conduct novel research on efficient and scalable deep generative model training and sampling, safe generative AI, memorization mitigation, concept erasing, data attribution, and multimodal representation learning. Implement innovative algorithms, collaborate with internal researchers, analyze large-scale deep learning results, and publish findings as academic papers.