Senior GenAI Researcher: Efficient Models & Distillation

ByteDance; San Jose (CA); On-site; USD 208,800 - 616,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) savings plan with company match

Paid parental leave

Short-term and long-term disability coverage

Generous paid time off policies

Job summary

A leading tech company in San Jose is seeking a Research Engineer / Scientist to focus on generative AI and CV/multimodal understanding. The role involves developing efficient models and algorithms for large-scale generative AI, emphasizing model distillation and compression. Applicants must have a B.S. in Computer Science and proficiency in frameworks like PyTorch. Additional qualifications include a Ph.D. in relevant fields and extensive research experience. This position offers a competitive salary range from $208,800 to $616,000 annually.

Qualifications

• Minimum of a B.S. in Computer Science or equivalent experience.
• Deep understanding of computational bottlenecks and acceleration methods.
• Experiences in generative AI or LLM models.

Responsibilities

• Develop efficient algorithms for large-scale generative and multimodal models.
• Advance scalable generative modeling approaches.

Skills

Expertise in efficient models

Proficiency in PyTorch and JAX

Strong communication skills

Education

B.S. in Computer Science or related fields

Ph.D. in GenAI, MLSys

Tools

JAX

PyTorch

Job description

A leading tech company in San Jose is seeking a Research Engineer / Scientist to focus on generative AI and CV/multimodal understanding. The role involves developing efficient models and algorithms for large-scale generative AI, emphasizing model distillation and compression. Applicants must have a B.S. in Computer Science and proficiency in frameworks like PyTorch. Additional qualifications include a Ph.D. in relevant fields and extensive research experience. This position offers a competitive salary range from $208,800 to $616,000 annually.