Machine Learning Engineer, eCommerce Risk Control

$175,750 - $266,000/Yr

Tiktok - San Jose, CA

Full-time - Mid Level

San Jose, CA

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

About the position

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. The E-Commerce Risk Control (ECRC) team is dedicated to minimizing the impact of inauthentic behaviors on TikTok's E-Commerce platforms, such as TikTok Shop, Jumanji, and Fanno. This team addresses various community and business risk areas, including account integrity, incentive abuse, malicious activities, brushing, click-farming, and information leakage. The ECRC team aims to protect TikTok E-Commerce users, including buyers, sellers, and creators, by ensuring the integrity of the e-commerce ecosystem and providing a safe shopping experience. This is achieved through the development of infrastructures, platforms, and technologies, as well as collaboration with cross-functional teams and stakeholders. In this role, you will have the unique opportunity to engage with the company's strategic security initiatives, particularly in building scalable, robust, intelligent, and privacy-safe systems and solutions. The challenges faced by the ECRC team are not typical technical puzzles; instead, you will be part of a team that develops innovative solutions to unprecedented challenges within a rapidly evolving product ecosystem. The work is fast-paced and requires a focus on making quick, impactful changes while maintaining a solid foundation in risk management.

Responsibilities

• Build rules, algorithms, and machine learning models to respond to and mitigate business risks in TikTok products/platforms.
• Establish reliable, efficient, and modularized risk defense solutions to reduce manual workload on ramping up risk controls against new business, risk areas, or abusive means.
• Uplevel risk defense excellence on privacy/compliance, machine learning, risk perception, and analysis to achieve an in-depth defense portfolio.

Requirements

• Bachelor's degree or higher in computer science, computer engineering, electrical engineering, statistics, or other relevant majors.
• Solid engineering skills with proficiency in at least two of the following: Linux, Hadoop, Hive, Spark, Storm.
• Familiarity with data mining, data science, or machine learning; proficiency in modern machine learning theories and applications is a bonus.
• Ability to think critically, objectively, and rationally, with strong communication skills in a result-oriented, data-driven manner.

Nice-to-haves

• Proficiency in modern machine learning theories and applications such as deep neural networks, transfer/multi-task learning, reinforcement learning, time series, or graph unsupervised learning.

Benefits

• 100% premium coverage for employee medical insurance, approximately 75% for dependents, and a Health Savings Account (HSA) with 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.