Real-Time Multimodal AI Engineer for Games

WYVRN SAS; France; Sur place; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Razer is seeking an AI engineer to design and optimize multimodal AI components for in-game event recognition and real-time inference. You will develop CV and audio pipelines for dataset generation and assist in training workflows across a broad set of games.

You will collaborate with SDK developers to enable on-device inference optimization, with a focus on low latency, high accuracy, and efficient model deployment in a cross‑platform gaming ecosystem.

Qualifications

• Proficient in C++ for high-performance implementation.
• Strong ML fundamentals (CNNs, transformers) and multimodal fusion.
• Experience with OpenCV, PyTorch, or TensorFlow.
• Background in computer vision or audio event classification.
• Experience with real-time inference and model compression.

Responsabilités

• Designs and implements AI components for in-game event recognition, multimodal learning, and model optimization.
• Develops CV and audio processing pipelines for automated dataset generation and labeling.
• Collaborates on training workflows for the top 100, 500, and 3000 games.
• Builds the video decluttering pipeline to filter irrelevant gameplay segments.
• Works closely with the Lead Engineer on model deployment optimization and SDK integration.

Connaissances

C++

Computer Vision

Real-time Inference

Multimodal AI

Debugging

Outils

OpenCV

PyTorch

TensorFlow

Description du poste

Razer is seeking an AI engineer to design and optimize multimodal AI components for in-game event recognition and real-time inference. You will develop CV and audio pipelines for dataset generation and assist in training workflows across a broad set of games.

You will collaborate with SDK developers to enable on-device inference optimization, with a focus on low latency, high accuracy, and efficient model deployment in a cross‑platform gaming ecosystem.