LLM & AI Systems Research Scientist

ByteDance; Seattle (WA); On-site; USD 207,000 - 368,000; Full time

Job summary

ByteDance's Applied Machine Learning Ark team in the United States develops model-as-a-service platforms that support hundreds of LLM-based applications, spanning training, inference, data analytics, and feedback loops. The US team designs and operates MaaS solutions across the US and international markets outside mainland China.

We seek graduates or PhD researchers with deep expertise in large language models, AI agent systems, and data-centric AI.

Qualifications

• PhD in Computer Science, ML, AI, Data Science or related field.
• Research in LLM post-training and alignment, model evaluation, or data curation and optimization.
• Demonstrated research ability via publications, projects or internships.
• Ability to work independently on open-ended research problems.

Responsibilities

• Build a next-generation big model as a service platform for numerous LLM-based apps.
• Develop and maintain the platform including offline training, online inference, model management, and resource orchestration.
• Manage a large number of GPU resources to provide efficient computing power.

Skills

LLM post-training & alignment

Model evaluation

Test-time scaling

Data curation

Independent research

Education

PhD in Computer Science / ML / AI / Data Science

Job description

ByteDance's Applied Machine Learning Ark team in the United States develops model-as-a-service platforms that support hundreds of LLM-based applications, spanning training, inference, data analytics, and feedback loops. The US team designs and operates MaaS solutions across the US and international markets outside mainland China.

We seek graduates or PhD researchers with deep expertise in large language models, AI agent systems, and data-centric AI.