Research Scientist Intern - Applied ML & LLM Platform

ByteDance; San Jose (CA); On-site; USD 68,191 - 97,120; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick time

Housing allowance

Job summary

ByteDance invites a PhD candidate for a Research Scientist Intern (Applied Machine Learning-Enterprise) in San Jose. The role focuses on building a big model-as-a-service platform and advancing LLM-based applications.

You will work on offline/online ML workflows, model management, and scalable GPU orchestration, with potential NLP/LLM research exposure and top-tier conference contribution opportunities.

Qualifications

• Pursuing a PhD in CS or related field.
• Proficient in DL frameworks such as PyTorch or TensorFlow.
• Experience programming in C++, Python, or Go.
• Strong teamwork and communication; experience with relevant business scenarios preferred.
• Solid software programming and clean coding practices.

Responsibilities

• Build a next-gen big model-as-a-service platform for hundreds of LLMs-based apps.
• Develop and maintain the platform with offline training/finetuning, online inference, model mgmt, and resource orchestration.
• Manage a large pool of GPU resources and ensure efficient computing power.

Skills

PyTorch

TensorFlow

C++

Python

Go

Teamwork

Code design

Education

PhD in Computer Science or related field

Job description

ByteDance invites a PhD candidate for a Research Scientist Intern (Applied Machine Learning-Enterprise) in San Jose. The role focuses on building a big model-as-a-service platform and advancing LLM-based applications.

You will work on offline/online ML workflows, model management, and scalable GPU orchestration, with potential NLP/LLM research exposure and top-tier conference contribution opportunities.