Machine Learning Engineer Graduate

About the Role

ByteDance is building the next generation of AI-native risk intelligence systems for e-commerce risk control. The team is transitioning from monolithic LLM applications to a structured multi-agent architecture emphasizing tool-augmented reasoning, modular skill composition, execution traceability, observability, feedback-driven system evolution, and cross-domain risk reasoning. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must commit to an onboarding date by the end of the year.

Key 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.

Requirements & Tech Stack

• Python
• SQL/Hive
• Hadoop
• 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.
• Strong understanding of data structures and algorithms, with excellent problem-solving ability.
• Detail oriented, effective time management, and strong analytical skills.

Qualifications

• Individuals who are completing or have recently completed a Bachelor's degree in Computer Science, Computer Engineering or a related discipline.
• 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.
• High levels of creativity and quick problem-solving capabilities.

Preferred Qualifications:

• Individuals who are completing or have recently completed a Master's degree in Software Development, Computer Science, Computer Engineering or a related discipline.

Job Information:

• The base salary range for this position is $121,600 - $243,200 annually.
• Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits.
• Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire).