Machine Learning Engineer Intern (E-Commerce Recommendation/Search Alliance) - 2026 Start (PhD)
ByteDanceResponsibilities
- Design and implement machine learning algorithms to enhance recommendation systems.
- Apply machine learning, natural language processing, and computer vision techniques to e-commerce data and interactions.
- Deploy and maintain scalable recommendation models for real-time query handling and product suggestions.
- Analyze complex datasets to derive insights for strategic decisions.
- Stay current with machine learning developments and incorporate them into the work.
Requirements
- Currently pursuing a PhD in Computer Science, Engineering, Operations Research, or a related field.
- Strong knowledge of data structures, algorithms, and problem-solving.
- Profound knowledge of machine learning, statistics, and big data engineering.
- Preferred: final-year or recently graduated candidate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
- Preferred: understanding of scaling distributed computing and additional depth in machine learning, statistics, and big data engineering.
Benefits
- 2026 internship opportunity with hands-on learning, community-building and development events, and collaboration with industry experts.
- Applications are reviewed on a rolling basis, and applicants should state their start and end dates clearly in their resume.
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About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.