Machine Learning Engineer Graduate – E-Commerce Recommendation/Search Alliance – PhD
| Company | ByteDance |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Entry Level/New Grad |
Requirements
- Master’s or PhD degree in Computer Science, Engineering, Operations Research, or related fields.
- 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.
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.
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.