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 transfer capabilities from foundation models into smaller, deployable versions.
Role type
Senior Research Engineer/Scientist (Efficient Generative Models)
Builds
Scalable training, optimization, and deployment infrastructure for generative AI models
Domain
Generative AI, Computer Vision, Multimodal Understanding
Deliverable
production ML models
Required skills
Model distillation, model compression, quantization, step distillation, cfg distillation, generative modeling, diffusion models, autoregressive models, hardware-efficient inference, PyTorch, JAX
Preferred skills
Ph.D. in GenAI/MLSys, reinforcement learning training methods (RLHF, DPO, GRPO), MoE architectures, window attention, image/video generation and editing
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
