Search & Relevance ML Engineer Intern

TikTok; San Jose (CA); On-site; USD 68,191 - 97,120; Full time

Job summary

TikTok offers a 12-week full-time Search internship focused on building and iterating search features, services, and tools. You will work with large-scale data, logs, and experiments to understand user search behavior and improve product quality under the guidance of engineers and mentors.

You will collaborate with engineering, product, data science, and ML teams to define requirements, write clear code and documentation, and communicate progress to stakeholders.

Qualifications

• Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Proficient coding skills and strong algorithm & data structure basis.
• Effective communication and teamwork skills.
• Experience in NLP, Ranking, Ads, search engine, recommender system, distributed system, and machine learning.

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.

Skills

Algorithms & data structures

Proficient coding

Communication & teamwork

NLP

Ranking

Ads

Search/recommender systems

Distributed systems

Machine learning basics

Education

PhD in Computer Science or related field

Job description

TikTok offers a 12-week full-time Search internship focused on building and iterating search features, services, and tools. You will work with large-scale data, logs, and experiments to understand user search behavior and improve product quality under the guidance of engineers and mentors.

You will collaborate with engineering, product, data science, and ML teams to define requirements, write clear code and documentation, and communicate progress to stakeholders.