ML Research Intern: Multimodal Game QA & Anomaly Detection

Sony Interactive Entertainment Inc.; San Mateo (CA); On-site; USD 63,000 - 89,000; Full time

Benefits offered by this job

Relocation assistance

Internship pay (fixed hourly rate)

Job summary

Sony Interactive Entertainment Inc. in San Mateo invites you to join the Game Service ML team as a Machine Learning Research Intern. You will explore multimodal AI using gameplay video, audio, and inputs to identify bugs during game development and testing, working with teams in San Mateo and London.

Under guidance from experienced researchers, you will design experiments, develop prototypes, and contribute ideas to ongoing research discussions, gaining hands-on experience in gaming AI.

Qualifications

• Pursuing a Master’s degree in CS, ML, EE, robotics, or related field.
• Strong foundation in machine learning, computer vision, or NLP.
• Proficiency in Python and ML libraries.
• Hands-on experience with PyTorch or TensorFlow.
• Strong problem-solving and collaborative research skills.
• Coursework or experience in multimodal AI or vision-language models is a plus.

Responsibilities

• Research and explore machine learning techniques to improve game scene representations for bug and glitch detection.
• Contribute to multimodal AI research that enhances automated QA in PlayStation environments.
• Design and conduct experiments to evaluate model performance and identify improvement opportunities.
• Develop and test prototypes applying AI approaches to real-world PlayStation challenges.
• Collaborate with researchers and engineers to share findings and incorporate feedback.
• Gain hands-on experience turning research ideas into working prototypes for gaming.

Skills

Machine Learning

Python programming

Data analysis

Education

Master's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Job description

Sony Interactive Entertainment Inc. in San Mateo invites you to join the Game Service ML team as a Machine Learning Research Intern. You will explore multimodal AI using gameplay video, audio, and inputs to identify bugs during game development and testing, working with teams in San Mateo and London.

Under guidance from experienced researchers, you will design experiments, develop prototypes, and contribute ideas to ongoing research discussions, gaining hands-on experience in gaming AI.