Machine Learning Engineer Intern – Search E-commerce
| Company | ByteDance |
|---|---|
| Location | San Jose, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Internship |
| Degrees | PhD |
| Experience Level | Internship |
Requirements
- Currently pursuing a PhD in Computer Science or a related technical discipline
- Able to commit to working for 12 weeks during Summer/Fall 2025
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Excellent coding skills
- Solid knowledge of data structure and algorithms
- Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data
- Publication records in top journals or conferences will be a plus
- Experience winning ACM-ICPC medals will be a plus
Responsibilities
- Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users’ perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
- Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Improve users’ personalized shopping interests model. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
- Promote the sustainable development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.
Preferred Qualifications
- Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship