Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd)
ByteDance, San Jose
Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd)
Join to apply for the Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd) role at ByteDance
Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd)
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Join to apply for the Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd) role at ByteDance
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Responsibilities
Team Introduction:
The E-Commerce Risk Control (ECRC) Team's Mission Is :
- To protect TikTok e-commerce users, including and beyond buyer, seller, creator;
- To make Tiktok e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform;
- Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders.
We achieve our mission by a) developing state-of-art Machine Learning (ML) solutions to prevent customers, SPs, and Tiktok from being impacted by bad actors’ actions and practices to gain unfair business advantages; b) empowering Tiktok teams, both internal to GNE and external, to reduce risk attempts by utilizing our mechanisms.
We are looking for talented individuals to join our team in 2026. 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 ByteDance
Successful candidates must be able to commit to an onboarding date by end of year 2026.
Please state your availability and graduation date clearly in your resume.
Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities:
- Develop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms.
- Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams.
- Collaborate with multidisciplinary teams to enhance current automation processes.
- Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions.
- Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control.
- Document technical processes and effectively communicate results through writing, visualizations, and presentations.
Minimum Qualifications
- Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields.
- Final year or recent graduate with a background in Computer Science, Computer Engineering, or a related technical discipline
- Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning.
- Experience with Python, SQL/Hive, and Hadoop
- Strong understanding of data structures and algorithms, with excellent problem-solving ability
- Detail oriented, effective time management, and strong analytical skills
- Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
- Internship experience or research experience, especially in e-commerce, risk control domian
- Curiosity towards new technologies and entrepreneurship
- High levels of creativity and quick problem-solving capabilities
Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Software Development
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