Applied ML Research Intern: GPU Systems & Data

ByteDance; San Jose (CA); On-site; USD 30,000 - 45,000; Full time

Job summary

ByteDance is seeking intern candidates to join its Applied Machine Learning team in San Jose, California. You'll work on GPU resource management and contribute to our end-to-end machine learning solutions for products like TikTok.

The ideal candidate is pursuing a PhD in Computer Science with strong programming skills in Python, Golang, or C++. Responsibilities include optimizing GPU computing resources and leveraging data insights for efficiency.

This internship is an excellent opportunity for those passionate about machine learning and AI.

Qualifications

• Currently pursuing a PhD in Computer Science or a related field.
• Proficiency in at least one programming language (Python, Golang, or C++).
• Proficient in storage and middleware systems (MySQL, Redis).
• Familiar with time‑series data components (OpenTSDB, Prometheus).
• Solid understanding of distributed systems.

Responsibilities

• Construct and maintain centralized GPU computing pool.
• Manage budgeting and resource efficiency for GPU resources.

Skills

Python

Golang

C++

MySQL

Redis

MQ

OpenTSDB

Prometheus

InfluxDB

ClickHouse

Education

Currently pursuing a PhD in Computer Science or a related field

Job description

ByteDance is seeking intern candidates to join its Applied Machine Learning team in San Jose, California. You'll work on GPU resource management and contribute to our end-to-end machine learning solutions for products like TikTok.

The ideal candidate is pursuing a PhD in Computer Science with strong programming skills in Python, Golang, or C++. Responsibilities include optimizing GPU computing resources and leveraging data insights for efficiency.

This internship is an excellent opportunity for those passionate about machine learning and AI.