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 AI audio architecture, large-scale foundation models (Diffusion, Transformers), and optimized inference SDKs/Microservices.
Domain
AI, High-Performance Computing, Audio Processing, Generative AI
Deliverable
production ML models
Required skills
Generative AI (Diffusion, GANs, Transformers, VAEs, NeRFs), Distributed training, Python, PyTorch, Multi-modal data processing, Technical mentorship
Preferred skills
C++, CUDA, cuDNN, Triton, TensorRT, Megatron-LM, DeepSpeed, PyTorch FSDP, Physics-informed neural networks
Technologies
PyTorch, CUDA, cuDNN, Triton, TensorRT, Megatron-LM, DeepSpeed, NeMo, AI4Media
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 strategy & mentorship