GenAI Research Engineer — Efficient Large-Scale Models

ByteDance; San Jose (CA); On-site; USD 254,000 - 588,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

17 days of Paid Personal Time

Job summary

ByteDance’s Vision-Applied Research team focuses on applied research in Generative AI and multimodal understanding, delivering intelligent solutions to ByteDance products, enabling users to create content more easily. The team develops models for content creation, image generation, video synthesis, and virtual humans.

We seek a Research Engineer/Scientist to design and implement efficient models for large-scale generative AI, emphasizing distillation and compression to enable scalable training,

Qualifications

• B.S. in Computer Science or related field, or equivalent experience.
• Deep understanding of computational bottlenecks and acceleration methods.
• Experience training generative AI or LLM models with PyTorch and JAX.
• Strong communication and collaboration skills in fast-paced environments.

Responsibilities

• Develop efficient algorithms and architectures for large-scale generative and multimodal models, using techniques such as distillation, quantization, and other methods to improve model efficiency.
• Advance scalable generative modeling approaches, including diffusion and autoregressive models, with a focus on acceleration and efficiency.

Skills

Efficient models

PyTorch

JAX

Communication

Education

B.S. in Computer Science or related fields

Job description

ByteDance’s Vision-Applied Research team focuses on applied research in Generative AI and multimodal understanding, delivering intelligent solutions to ByteDance products, enabling users to create content more easily. The team develops models for content creation, image generation, video synthesis, and virtual humans.

We seek a Research Engineer/Scientist to design and implement efficient models for large-scale generative AI, emphasizing distillation and compression to enable scalable training,