Job Summary:
ByteDance is a company that inspires creativity and enriches life through its innovative products like TikTok and CapCut. They are seeking a Machine Learning Engineer Graduate to design and implement machine learning algorithms to enhance e-commerce recommendation systems and improve user experiences. The role involves analyzing complex datasets and staying updated with the latest machine learning developments.
Responsibilities:
โข Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems.
โข Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions.
โข Deploy and maintain scalable recommendation models for real-time query handling and product suggestions.
โข Analyze complex datasets to derive insights that guide strategic decisions.
โข Stay up-to-date with the latest machine learning developments, incorporating them into your work.
Qualifications:
Required:
โข Bachelor's degree or above in Computer Science, Engineering, Operations Research, or related fields with 0-1 year of work experience
โข Graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
โข Thorough understanding of data structures and algorithms, with excellent problem-solving ability.
โข Deep Understanding of machine learning, statistics, scaling distributed computing, and big data engineering
Preferred:
โข Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
โข Internship experience or research experience, especially in e-commerce, recommendation, search engine
โข Publications at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, CIKM, ICLR, ICML, IJCAI, AAAI.
โข Curiosity toward new technologies and entrepreneurship
โข High levels of creativity and quick problem-solving capabilities
Company:
ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage.