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

$137,750 - $237,500/Yr

Tiktok - Seattle, WA

Full-time - Entry Level

Seattle, WA

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

About the position

The Machine Learning Engineer Graduate position in the E-Commerce Risk Control team at TikTok is designed for recent graduates or final-year students pursuing a PhD. The role focuses on developing innovative machine learning algorithms to manage business risks within TikTok's e-commerce platforms. The team aims to create a safe and trusted online shopping experience by building software systems and risk models, collaborating with cross-functional teams, and enhancing automation processes. This position offers a unique opportunity to kickstart a career in a dynamic environment that values creativity 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 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.
• 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.
• 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 like 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.