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Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2026 Start (Phd)

ByteDance

$136,800 - $259,200
Aug 16, 2025
San Jose, CA, US
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To protect TikTok e-commerce users and 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

Requirements

  • Master's or PhD degree in Computer Science, Engineering, Operations Research, or related fields
  • 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
  • Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
  • Internship experience or research experience, especially in e-commerce, risk control domain
  • Curiosity towards new technologies and entrepreneurship

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
  • 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

Other

  • Commit to an onboarding date by end of year 2026
  • State availability and graduation date clearly in resume
  • 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
  • Detail oriented, effective time management, and strong analytical skills