Multimodal ML Research Intern for Game QA

Sony Interactive Entertainment Inc.

San Mateo (CA)

On-site

USD 72,000 - 103,000

Full time

2 days ago
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Job summary

Sony Interactive Entertainment (SIE) invites a Machine Learning Research Intern to join the Game Service ML team in San Mateo. You will research multimodal AI, anomaly detection, and how gameplay data can reveal bugs and improve QA for PlayStation titles under mentorship.

You’ll collaborate with global teams, publish findings where possible, and gain hands-on experience deploying research ideas into practical game development contexts during a 12-week internship.

Qualifications

  • Pursuing a PhD in Computer Science, ML, CV, NLP or related field.
  • Strong ML research background with open-ended problem solving.
  • Proficiency in Python and DL frameworks (PyTorch or TensorFlow).
  • Able to design and run experiments, interpret results, and communicate findings.

Responsibilities

  • Research vision-language and multimodal models for game scene understanding and anomaly detection.
  • Design experiments to evaluate model performance and generalisation.
  • Develop prototypes applying research ideas to game QA challenges.
  • Analyze results and identify improvements for game development and testing.
  • Collaborate with researchers and engineers to share findings and shape directions.
  • Explore opportunities to publish research findings at conferences.
  • Manage ML research projects from questions to evaluation with mentorship.

Skills

Python
PyTorch
TensorFlow
Experiment design
Research publications

Education

PhD candidacy in CS/ML/CV/NLP

Tools

Git

Job description

Sony Interactive Entertainment (SIE) invites a Machine Learning Research Intern to join the Game Service ML team in San Mateo. You will research multimodal AI, anomaly detection, and how gameplay data can reveal bugs and improve QA for PlayStation titles under mentorship.

You’ll collaborate with global teams, publish findings where possible, and gain hands-on experience deploying research ideas into practical game development contexts during a 12-week internship.

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