Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (BS/MS)
Qualifications
Experience Level: Entry Level
- Bachelor's degree or above 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
Full Job Description
Join ByteDance, a dynamic global technology company, as a Machine Learning Engineer Graduate for a 2026 start. This exciting full-time, onsite role in Seattle, WA focuses on strengthening the risk control mechanisms for TikTok's products and platforms. You will be instrumental in developing and deploying cutting-edge machine learning algorithms to proactively manage business risks. This position offers a unique opportunity to collaborate with diverse, multidisciplinary teams, prototype novel solutions, and drive data-driven decision-making. If you are a recent graduate with a strong foundation in machine learning, exceptional problem-solving skills, and a passion for innovation in the e-commerce and risk control domains, we encourage you to apply.
Company
ByteDance
ByteDance is a leading global technology company dedicated to fostering creativity and enriching lives through its innovative suite of products and services. Specializing in content creation platforms...