Sr. Research Engineer/Scientist(all levels), Efficient Models
Core
Designing and implementing efficient models for large-scale generative AI, focusing on model distillation and compression to enable scalable training and deployment.
Role type
Senior Research Engineer/Scientist (Efficient Generative Models)
Builds
Scalable generative modeling approaches (diffusion, autoregressive) and efficient inference frameworks
Domain
Generative AI, Computer Vision, Multimodal Understanding
Deliverable
production ML models
Required skills
Model distillation, model compression, quantization, step distillation, cfg distillation, generative AI training, LLM training, PyTorch, JAX, computational bottleneck analysis, model acceleration
Preferred skills
Ph.D. in GenAI/MLSys, image/video generation and editing, efficient architectures (MoE, window attention), reinforcement learning training methods (RLHF, DPO, GRPO)
Technologies
PyTorch, JAX
Responsibilities
Develop efficient algorithms and architectures for large-scale generative and multimodal models; Advance scalable generative modeling approaches with a focus on acceleration and efficiency.
Seniority
Senior, hands-on IC
