PhD Research Intern: AI-Driven Infra & Scheduler

ByteDance; San Jose (CA); On-site; USD 4,959,000 - 8,266,000; Part time

Benefits offered by this job

Health insurance

Wellbeing benefits

Paid holidays

Housing allowance

Job summary

ByteDance is seeking PhD students for a paid 12‑week internship focused on AI/ML infrastructure and intelligent scheduling. You will work on a real project central to our compute platform, contributing to research, tooling, and automation that improve efficiency at scale.

Interns gain hands‑on experience with a dynamic program blending hands‑on learning, community building, and professional development events, collaborating with industry experts and shaping the future of our AI powered

Qualifications

• Currently pursuing a PhD in Computer Science or a related discipline.
• Able to commit to a 12‑week internship during Summer 2027.
• Experience coding in Go, C++, Python, Java, or C#.

Responsibilities

• Help make our intelligent, AI‑driven scheduler smarter at placing and balancing workloads.
• Explore new ways to get more useful work out of the same hardware — smarter use of compute, memory, or power.
• Build tools that help a global platform run reliably and increasingly manage itself, including AI‑agent‑assisted automation.
• As an intern, you’ll contribute to our products and research and engage with the organization’s future plans and emerging technologies.

Skills

Go

C++

Python

Java

C#

Education

PhD in Computer Science

Job description

ByteDance is seeking PhD students for a paid 12‑week internship focused on AI/ML infrastructure and intelligent scheduling. You will work on a real project central to our compute platform, contributing to research, tooling, and automation that improve efficiency at scale.

Interns gain hands‑on experience with a dynamic program blending hands‑on learning, community building, and professional development events, collaborating with industry experts and shaping the future of our AI powered