Senior Deep Learning Research Engineer – Multimedia GPU team
Core
Lead research, design, and development of state-of-the-art deep learning models for audio, speech, and multimedia domains, bridging research to production.
Role type
Senior Deep Learning Research Engineer (Audio/Multimedia)
Builds
Generative audio foundation models, speech transformation algorithms, and optimized inference SDKs/microservices.
Domain
AI / Deep Learning / Audio & Speech / Multimedia
Deliverable
production ML models
Required skills
Generative AI (Diffusion, GANs, Transformers, VAEs, NeRFs), Distributed training, Python, PyTorch, C++, CUDA, cuDNN, Triton, TensorRT, Multi-modal data processing
Preferred skills
Large-scale distributed training frameworks (Megatron-LM, DeepSpeed, PyTorch FSDP), Low-level GPU optimization, Physics-informed neural networks
Technologies
PyTorch, CUDA, cuDNN, Triton, TensorRT, Megatron-LM, DeepSpeed, PyTorch FSDP
Responsibilities
Pioneer Generative AI - Audio Architecture; Drive Future Technology Roadmaps; Scale Massive Foundation Models; Audio-Speech-Visual Fusion; Cross-Functional Leadership; Productize and Deploy models on Edge; Technical Mentorship
Seniority
Senior, hands-on IC with mentorship
