ML Systems Intern: GPU Compute & Data Analytics

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

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

10 paid holidays per year

Paid sick time

Job summary

ByteDance is offering a PhD Internship in San Jose, California, focused on applied machine learning. Interns will work on managing centralized GPU resources and contribute to cutting-edge projects across the company's products.

Applicants should be pursuing a PhD in Computer Science, have programming proficiency in Python, Golang, or C++, and a solid understanding of distributed systems. The position offers health insurance, paid holidays, and potential housing allowance for non-remote interns.

Qualifications

• Currently pursuing a PhD in Computer Science or a related field.
• Proficiency in at least one programming language among Python, Golang, or C++.
• Solid understanding of distributed system principles.

Responsibilities

• Construct and maintain the centralized GPU computing pool.
• Collect and process GPU data across the Group.

Skills

Python

Golang

C++

MySQL

Redis

Prometheus

InfluxDB

ClickHouse

Distributed systems

Education

PhD in Computer Science or related field

Job description

ByteDance is offering a PhD Internship in San Jose, California, focused on applied machine learning. Interns will work on managing centralized GPU resources and contribute to cutting-edge projects across the company's products.

Applicants should be pursuing a PhD in Computer Science, have programming proficiency in Python, Golang, or C++, and a solid understanding of distributed systems. The position offers health insurance, paid holidays, and potential housing allowance for non-remote interns.