Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2026 Start (BS/MS)
Job Summary
Job Description
- Design and implement cutting-edge machine learning algorithms to enhance recommendation systems.
- Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data.
- Deploy and maintain scalable recommendation models for real-time query handling.
- Analyze complex datasets to derive insights.
- Bachelor's degree or above in Computer Science, Engineering, Operations Research, or related fields.
- Thorough understanding of data structures and algorithms.
- Excellent problem-solving ability.
- Deep understanding of machine learning, statistics, scaling distributed computing, and big data engineering.
- Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
- Internship experience or research experience, especially in e-commerce, recommendation, search engine.
- Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
- Curiosity toward new technologies and entrepreneurship.
- High levels of creativity and quick problem-solving capabilities.
- Day one access to medical, dental, and vision insurance.
- 401(k) savings plan with company match.
- Paid parental leave.
- Short-term and long-term disability coverage.
- Life insurance.
- Wellbeing benefits.
- 10 paid holidays per year.
- 10 paid sick days per year.
- 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
7 skills required
Job Details
Responsibilities
Team Introduction: The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators. We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
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
Minimum Qualifications:
- Bachelor's degree or above in Computer Science, Engineering, Operations Research, or related fields with 0-1 year of work experience
- Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Thorough understanding understanding of data structures and algorithms, with excellent problem-solving ability.
- Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering
Preferred Qualifications:
- Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
- Internship experience or research experience, especially in e-commerce, recommendation, search engine
- Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
- Curiosity toward new technologies and entrepreneurship
- High levels of creativity and quick problem-solving capabilities
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