Machine Learning Engineer Intern (E-Commerce Recommendation/Search Alliance) - 2026 Start (PhD)

Public source summary from intern-list.com / Jobright.

ByteDance is a technology company focused on products and platforms that inspire creativity and enrich life. The Machine Learning Engineer Intern will contribute to recommendation and search initiatives for e-commerce by designing machine learning algorithms, analyzing e-commerce data, deploying scalable real-time models, and incorporating emerging techniques.

Responsibilities

Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems Apply machine learning, natural language processing, and computer vision techniques to analyze 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 that guide strategic decisions Stay up-to-date with the latest machine learning developments, incorporating them into your work

Qualifications: Currently pursuing a PhD in Computer Science, Engineering, Operations Research, or related fields Strong grasp of data structures, algorithms, and top-notch problem-solving skills Profound knowledge in machine learning, statistics, and big data engineering Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline Thorough understanding of data structures and algorithms, with excellent problem-solving ability Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering

Benefits: Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.