Job
Research Scientist, University Graduate (E-Commerce Recommendation/Search Alliance)- 2024 Start (phd)
TikTok
•
Nov 17
💼 Graduate Job
Seattle
AI generated summary
- The candidate must have a PhD in Computer Science or a related field, strong background in software development, data structures and algorithms, machine learning expertise, research experience in e-commerce or search, and a curiosity for new technologies with excellent problem-solving skills.
- The research scientist will apply cutting-edge machine learning techniques to improve recommendation systems, analyze e-commerce data, deploy scalable models, derive insights from complex datasets, and stay updated with the latest machine learning developments.
Description
- 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.
- 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
- PhD degree in Computer Science, Engineering, Operations Research, or related fields.
- Final year or recent 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
PhD
Area of Responsibilities
Research & Development
Software Engineering
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