Technology Field

Machine Learning

Software Engineering

Position Summary

Sony is developing advanced AI that operates in various use cases and environments, such as autonomous driving and game AI. While it is necessary to prepare vast amounts of data for different scenarios, the preparation of the data itself and its annotation pose challenges. Our team is at the forefront of developing new AI learning technologies, leveraging a wide array of training data, including annotated, unannotated, and synthetic data. We are in search of engineers eager to innovate in AI learning technologies and advanced AI systems. Our projects span from autonomous driving and generative AI in gaming and imaging to focusing on large-scale computing and distributed processing.

As a software engineer on our team, you will engage in projects critical to Sony's diverse needs, contributing directly to the advancement of AI technology. Moreover, you will have the opportunity to integrate these AI technologies across various Sony business domains, ranging from gaming to finance. This role not only allows you to contribute to the development of cutting-edge AI training technologies but also offers a pathway to grow into a versatile engineer, akin to a full-stack developer, grounded in a broad understanding of software development.

Responsibilities

■Develop AI learning technology utilizing various datasets such as unannotated, synthetic data, etc.

■Launch products showcasing the developed technology.

■Fully utilize AI learning frameworks such as PyTorch.

■Fully utilize GPUs for development and software optimization.

■Present technology capabilities through academic papers.

■Become a world-class engineer by mastering the most advanced technologies in machine learning and AI.

■Become a leader or a key contributor in a team that introduces original technologies to the market as products/services, in collaboration with other departments such as marketing, product design, manufacturing, etc.

■Collaborating with global Sony group companies, you can create business value as a data scientist across various business units, including electronics, finance, gaming, entertainment, medical, and more.

Required qualifications

■Master's degree in Computer Science, a related technical field, or equivalent practical experience.

■2 years of experience with one or more general-purpose programming languages, including but not limited to: C/C++, or Python.

■2 years of experience in the field of Machine Learning.

■Ability to speak and write in English fluently and idiomatically.

Preferred qualifications

■Experience in developing software using GPUs and parallel processing.

■Experience with AWS and/or other cloud services.

■Ability to speak and write in Japanese.

Product, Service

Autonomous Driving System

3D world generation for Game and Virtual Production

Development Environment

PC: desktop PC and GPU-based supercomputer.

OS: Windows and Linux

Application Requirements

Essay: Required

Coding test: Not Required