TikTok
San Jose, CA
Machine Learning Engineer Intern (E-Commerce Governance) - 2027 Start (PhD)
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- Location
- San Jose, CA
- Work type
- Onsite
- Compensation
- $124,800/yr
- Visa
- Sponsorship available
- Posted
- today
- Apply on
- lifeattiktok.com
About this role
TikTok is a short-form mobile video platform seeking a PhD Machine Learning Engineer Intern to support its E-commerce Governance and Experience Algorithm team. The intern will design and implement algorithms to detect and control risks and fraud across e-commerce content, products, sellers, and creators, while collaborating with cross-functional teams to define products and drive engineering initiatives.
What you'll do:
- 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
What they're looking for:
- 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
- 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
Benefits:
- Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
- Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
- Interns who are not working 100% remote may also be eligible for housing allowance.
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