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AI Engineer (Multimodal Systems)

Razer
Paris, France
18 days ago
Apply on www.welcometothejungle.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.welcometothejungle.com

Tech stack

Artificial Intelligence Computer Vision Audio Signal Processing C++ (Programming Language) Software Debugging OpenCV Performance Tuning Tensorflow Model Compression Systems Integration Data Processing Multimodal Learning
+6 more
Pytorch On-device Inference Real-time Inference Machine Learning Operations Feature Extraction Multimodal Fusion

Job description

  • 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
  • Implements and maintains C++ modules for data acquisition, inference, and model serving
  • Focused on performance tuning and inference latency reduction for on-device intelligence
  • Develop and optimize AI components for multimodal in-game event recognition, video dataset generation, and model deployment
  • Build AI modules for CV/audio-based in-game event detection
  • Implement data preprocessing and feature extraction pipelines
  • Train, validate, and deploy models across top 100-3000 games
  • Design video decluttering pipeline for gameplay quality refinement
  • Collaborate with SDK developers for on-device inference optimization
  • Ensure low-latency, high-accuracy inference performance

Requirements

  • Multimodal data processing (video, audio, metadata)
  • Rigorous analytical and debugging skills in performance-critical contexts
  • Applied AI engineering and model lifecycle understanding
  • Experience with OpenCV, PyTorch, or TensorFlow for model integration
  • Experience with real-time inference and model compression for deployment
  • Proficient in C++ for high-performance implementation
  • Background in computer vision or audio event classification
  • Familiarity with dataset management, labeling, and augmentation techniques
  • Solid understanding of ML fundamentals (CNNs, transformers, multimodal fusion)

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.welcometothejungle.com
Prepare application

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