Job
Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2024 Start (MS)
TikTok
•
Oct 19
💼 Graduate Job
Seattle
AI generated summary
- The candidate must have a Master's degree in Computer Science, Engineering, or related fields, excellent problem-solving ability, deep understanding of data structures and algorithms, as well as machine learning, statistics, distributed computing, and big data engineering. They should also have demonstrated software engineering experience, internship or research experience in e-commerce, recommendation, or search engine, and publications in conferences. Curiosity toward new technologies, entrepreneurship, creativity, and quick problem-solving capabilities are highly valued.
- The Machine Learning Engineer Graduate will be responsible for developing and implementing cutting-edge algorithms to enhance recommendation systems, analyzing e-commerce data, deploying scalable recommendation models, deriving insights from complex datasets, and staying up-to-date with the latest developments in machine learning.
Description
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 2024. 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 TikTok.
Requirements
- Master degree in Computer Science, Engineering, Operations Research, or related fields.
- Final year or 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
Education requirements
Final Year
Masters
Area of Responsibilities
Data
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.
Details
Work type
Full time
Work mode
office
Location
Seattle