Machine Learning Engineer
Core
Research, design, implement, and optimize deep learning models for efficient deployment in AI-driven video compression.
Role type
Machine Learning Engineer (Video Compression & Model Optimization)
Builds
Next generation AI-driven video compression models
Domain
Wireless communications, video processing, AI
Deliverable
production ML models
Required skills
Deep learning model development, model optimization, model compilation, PyTorch, Python, GPU training and inference, performance profiling, software engineering for ML codebases
Preferred skills
C++ or other systems languages, Torch Export, ONNX, publications, patents, open-source contributions
Technologies
PyTorch, Torch compile, Torch Export, ONNX, GPU
Responsibilities
Research and design AI-driven video compression models, implement and optimize models for efficient deployment, build and optimize deep learning models, consolidate and improve research code for scalable training and deployment
Seniority
Mid-level, hands-on IC