PhD Machine Learning Intern — Search & Relevance

TikTok; San Jose (CA); On-site; USD 68,000 - 97,000; Full time

Benefits offered by this job

Health insurance

Paid holidays

Housing allowance

Job summary

TikTok is offering a 12-week internship in San Jose for PhD students focused on search technology. You will work on designing, implementing, and iterating search features with guidance from engineers and mentors.

You will collaborate with engineering, product, data science, and ML teams, handling large-scale data and contributing to improvements in search quality for a global user base.

Qualifications

• Must be able to commit to a 12-week full-time internship.
• Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or related technical discipline.
• Proficient coding skills and strong algorithm & data structure basis.
• Effective communication and teamwork skills.
• Experience in NLP, Ranking, Ads, search engines, recommender systems, distributed systems, and ML.

Responsibilities

• Support the design, implementation, testing, and iteration of Search features under engineers.
• Work with large-scale data, logs, metrics, or experiments to understand user search behavior.
• Collaborate with engineering, product, data science, and ML partners to define requirements and milestones.
• Write clear, maintainable code and documentation for assigned workstreams.
• Communicate progress, risks, and learnings with mentors and stakeholders.

Skills

Coding skills

NLP

Ranking

Machine learning

Distributed systems

Job description

TikTok is offering a 12-week internship in San Jose for PhD students focused on search technology. You will work on designing, implementing, and iterating search features with guidance from engineers and mentors.

You will collaborate with engineering, product, data science, and ML teams, handling large-scale data and contributing to improvements in search quality for a global user base.