Machine Learning Engineer Intern (TikTok-Data-Search-Search Quality) - 2026 Start (PhD)
TikTok
- Location
- San Jose, California, United States of America
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- H-1B history
- 148 approvals (FY2023)
Skills
About this role
The Search team builds the systems that help users find relevant, reliable, and engaging content across TikTok. The team works across search retrieval, ranking, recommendation signals, query understanding, relevance, infrastructure, and product experiences. Our work combines large-scale machine learning, data-driven product development, and distributed systems to improve search quality for a global user base.
We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).
Responsibilities - Support the design, implementation, testing, and iteration of Search features, services, or tools under the guidance of engineers and mentors. - Work with large-scale data, logs, metrics, or experiments to understand user search behavior and improve product or system quality. - Collaborate with engineering, product, data science, and machine learning partners to define requirements and deliver project milestones. - Write clear, maintainable code and documentation for assigned workstreams. - Communicate progress, risks, and learnings with mentors and stakeholders throughout the internship.