Machine Learning Engineer Intern (E-Commerce Governance) - 2027 Start (PhD)
At a glance
- Location
- San Jose, CA
- Work type
- Onsite
- Category
- Data
Machine Learning Engineer Intern (PhD) at TikTok (E-Commerce Governance) for 2027 start. Location: San Jose, CA. PhD internship focusing on designing algorithms to detect and control risks/frauds in contents/products/sellers/creators, collaborating with strategy, product, policy, and ops teams.
What they are looking for
Location: San Jose, California, United States of America Department: R&D
The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology:
- Combat any kinds of risks/violations issues in E-commerce scenarios.
- Build an E-commerce ecosystem and improve platform service capabilities
We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).
Responsibilities
- Work with a team to design and implement algorithms to detect and control risks/frauds in contents/products/sellers/creators;
- Collaborate with strategy team, product managers, policy team and ops team to help define products and drive initiatives from engineering viewpoints
Minimum Qualifications
- Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering or a related discipline.
- An understanding or keen interest in machine learning, NLP, or computer vision;
- Familiarity with programming languages such as C++, Python, Go, or Java.
Preferred Qualifications
- Interest or experience in anti-fraud, anti-spam, platform-integrity, or similar fields would be a cherry on top
- A profound sense of responsibility, coupled with exceptional communication and teamwork skills.