Staff Machine Learning Engineer

• Design and implement ML models for anomaly detection in video streams and gameplay data.
• Apply computer vision and video analysis techniques to identify irregularities and bugs.
• Explore advanced methods such as self-supervised learning and visual language models.
• Collaborate with QA teams to integrate AI-driven solutions into production pipelines.
• Lead technical projects and mentor team members, acting as the most senior technical expert.
• Present research papers and propose integration strategies for innovative approaches.

• Strong background in machine learning research; PhD preferred (or equivalent experience in game development).
• Expertise in Python, PyTorch, and TensorFlow.
• Experience with video-based anomaly detection, computer vision, and streaming analysis.
• Gaming industry experience is a plus.
• Ability to lead projects and guide technical direction in a fast-paced environment.

Skills

• Research
• Video
• Anomaly Detection
• Video Detection

Join the research arm of a leading gaming organisation to develop cutting-edge AI solutions that transform game quality assurance. This role focuses on automating QA and testing by building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience.