Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2027 Start

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of products including TikTok, Lemon8, CapCut, and Pico, as well as platforms specific to the China market like Toutiao, Douyin, and Xigua, ByteDance makes it easier and more fun for people to connect with, consume, and create content.

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.
• Contribute to a structured multi-agent architecture emphasizing:
  • Tool-augmented reasoning (ReAct-style systems)
  • Modular skill composition
  • Execution traceability and observability
  • Feedback-driven system evolution
  • Cross-domain risk reasoning

Requirements

• Completing or have recently completed a Bachelor's degree in Computer Science, Computer Engineering, or a related 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, with effective time management and strong analytical skills.

Preferred Qualifications

• Completing or have recently completed a Master's degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Demonstrated software engineering experience from previous internships, work experience, coding competitions, or publications.
• Internship or research experience, especially in e-commerce or risk control domains.
• Curiosity toward new technologies and entrepreneurship.
• High levels of creativity and quick problem-solving capabilities.

Pay

The base salary range for this position is $128,000 - $316,800 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. This role may also be eligible for additional discretionary bonuses, incentives, and restricted stock units.

Benefits

• Day one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.