Machine Learning Engineer, E-Commerce Risk Control - USDS

$145,000 - $355,000/Yr

Tiktok - Mountain View, CA

Full-time

Mountain View, CA

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

About the position

TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S., created to enhance focus and governance on our data protection policies and content assurance protocols to ensure the safety of U.S. users. Our commitment is to provide oversight and protection of the TikTok platform and U.S. user data, allowing millions of Americans to continue using TikTok for learning, earning, creative expression, and entertainment. The teams within USDS, including Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions, work diligently to uphold this commitment every day. The E-Commerce Risk Control team specifically aims to minimize the impact of inauthentic behaviors on TikTok's E-Commerce platforms. This encompasses various business risk areas such as account integrity, incentive abuse, malicious behaviors, brushing, click-farming, and information leakage. As a member of this team, you will gain unique insights into the company's strategic security initiatives, particularly in developing scalable, robust, intelligent, and privacy-safe systems and solutions. The challenges faced are not typical day-to-day technical puzzles; instead, you will be part of a team that creates innovative solutions to unprecedented challenges within a rapidly evolving product ecosystem. The work demands speed and adaptability while remaining grounded to effect quick and substantial changes.

Responsibilities

• Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms, including abusive account integrity, scalper, deal-hunter, malicious activities, brushing, click-farming, and information leakage.
• Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization, reducing modeling and operational load on risk adversaries and new product/risk ramping-ups.
• Enhance risk machine learning excellence on privacy/compliance, interoperability, risk perception, and analysis.

Requirements

• Master's degree in Computer Science, Mathematics, Machine Learning, or other relevant STEM majors.
• Experience programming in Java, C++, Python, or related languages.
• 3+ years of hands-on experience in building and delivering machine learning models for large-scale projects.
• Track record of developing and implementing models and visualizations using programming and scripting languages such as Scala, Python, R, Ruby, and/or Matlab.
• Experience using various forecasting, machine learning, and statistical tools, with the ability to communicate results, plans, and/or risks clearly.
• Ability to think creatively and solve problems.

Nice-to-haves

• PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a relevant field.
• 4+ years of industry experience in predictive modeling and analysis.
• Experience collaborating with product, operations, and engineering teams.
• Excellent analytical and communication skills with the ability to influence stakeholders.
• Experience in e-commerce or online companies in fraud/risk control functions.

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), prorated upon hire and increased by tenure, 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.