Research Engineer/Scientist (all levels), Efficient Models
ByteDance · San Jose, California, US
About the Team The Vision-Applied Research team focuses on applied research in Generative AI and CV/Multimodal Understanding, and delivering intelligent solu...
Job description
About the Team The Vision-Applied Research team focuses on applied research in Generative AI and CV/Multimodal Understanding, and delivering intelligent solutions to ByteDance products, enabling users to make and share creative content in a much easier way. The team has research groups dedicated to generative models for content creation, image generation, video synthesis, intelligent image/video editing, and virtual humans. The team is looking for a Research Engineer / Scientist who can take initiatives in designing and implementing efficient models for large-scale generative AI, with a particular emphasis on large model distillation and compression. The candidate will work on developing methods and infrastructure for transferring capabilities from foundation models into smaller, more efficient models, enabling scalable training, optimization, and deployment. Responsibilities may include, but are not limited to, distillation frameworks, model acceleration, hardware-efficient inference, and their applications. Responsibilities: The base salary range for this position in the selected city is $156000 - $387600 annually. - Develop efficient algorithms and architectures for large-scale...