Machine Learning Engineer Graduate (E-Commerce Risk Control)- 2025 Start (MS)

$113,500 - $250,000/Yr

Tiktok - San Jose, CA

Full-time - Entry Level

San Jose, CA

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The E-Commerce Risk Control (ECRC) team at TikTok is dedicated to ensuring a safe and trusted e-commerce environment for users, including buyers, sellers, and creators. The team focuses on developing innovative machine learning solutions to mitigate risks associated with TikTok's e-commerce platforms, such as account integrity and malicious activities. This role offers recent graduates the opportunity to kickstart their careers by contributing to the safety and integrity of TikTok's e-commerce ecosystem through collaboration and innovation.

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

• Master's degree in Computer Science, Engineering, Operations Research, or related fields.
• Current 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.

Nice-to-haves

• 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.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and a Health Savings Account (HSA) with a company match.
• Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans.
• Flexible Spending Account (FSA) options for Health Care, Limited Purpose, and Dependent Care.
• 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) and 10 paid sick days per year.
• 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.
• Mental and emotional health benefits through EAP and Lyra.
• 401K company match, gym and cellphone service reimbursements.