ML Engineer Intern: Build Autonomous AI Agents at Scale

TikTok USDS Joint Venture

San Jose (CA)

On-site

USD 51,000 - 73,000

Full time

8 days ago
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Benefits offered by this job

Health insurance
Life insurance
Wellbeing benefits
10 paid holidays per year
Housing allowance

Job summary

TikTok USDS Joint Venture LLC is seeking a Software Engineer Intern for the Agentic Platform team, building autonomous AI agents to heal and optimize infrastructure at scale. You will work on production-grade automation, integrate with logging and ticketing systems, and help reduce manual toil while learning from industry professionals.

The role is a 12-week Summer 2027 internship with hands-on experience, collaboration across SRE, Systems, and capacity teams, and exposure to LLM orchestration

Qualifications

  • Pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or related field.
  • Able to commit to a 12-week internship during Summer 2027.
  • Proficient coding skills and strong algorithm & data structure basis.
  • Effective communication and teamwork skills.

Responsibilities

  • Workflow Automation & Triage: Apply the Agentic Platform to specific workflows, scaling diagnostic playbooks and enable intelligent triage, isolation, and auto-healing of complex hardware and system faults.
  • Systems Integration: Integrate our AI agent framework with core internal logging, monitoring, and ticketing systems.

Skills

Coding skills
Algorithms & data structures
Communication & teamwork

Education

Pursuing Bachelor's degree in CS/CE/SE or related
Pursuing Master's degree (preferred)

Tools

None specified

Job description

TikTok USDS Joint Venture LLC is seeking a Software Engineer Intern for the Agentic Platform team, building autonomous AI agents to heal and optimize infrastructure at scale. You will work on production-grade automation, integrate with logging and ticketing systems, and help reduce manual toil while learning from industry professionals.

The role is a 12-week Summer 2027 internship with hands-on experience, collaboration across SRE, Systems, and capacity teams, and exposure to LLM orchestration

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