Sr Machine Learning Engineer, Risk Data Mining

$184,300 - $337,250/Yr

Tiktok - Seattle, WA

Full-time - Mid Level

Seattle, WA

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 Business Risk Integrated Control (BRIC) team plays a crucial role in protecting TikTok users, including content consumers, creators, and advertisers, while ensuring the platform's health and authenticity of community experiences. This team is responsible for building infrastructures and technologies to minimize the impact of inauthentic behaviors across TikTok's platforms, including TikTok, CapCut, Resso, and Lark. The BRIC team addresses various community and business risk areas such as account integrity, engagement authenticity, anti-spam measures, API abuse, growth fraud, live streaming security, and financial safety related to ads and e-commerce. In this role, you will have the unique opportunity to engage with the company's strategic security initiatives, particularly in developing scalable, robust, intelligent, and privacy-safe systems and solutions. The challenges faced by the BRIC team are not typical 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 environment is dynamic, requiring quick, transferable solutions that make a significant impact on the platform and its users. As a member of the BRIC team, you will be tasked with building machine learning solutions to address and mitigate business risks associated with TikTok products and platforms. This includes tackling issues such as abusive accounts, fake engagements, spammy redirection, scraping, and fraud. You will also work on improving modeling infrastructures, labels, features, and algorithms to enhance robustness, automation, and generalization, thereby reducing the operational load on risk adversaries and facilitating the ramp-up of new products and risks. Additionally, you will be expected to elevate the standards of risk machine learning excellence, focusing on privacy and compliance, interpretability, and risk perception and analysis.

Responsibilities

• Build machine learning solutions to respond to and mitigate business risks in TikTok products/platforms.
• Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization.
• Reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
• Uplevel risk machine learning excellence on privacy/compliance, interpretability, risk perception, and analysis.

Requirements

• Master or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
• Solid engineering skills with proficiency in at least two of the following: Linux, Hadoop, Hive, Spark, Storm.
• Strong machine learning background with proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series, or graph unsupervised learning.
• Ability to think critically, objectively, and rationally, and communicate in a result-oriented, data-driven manner.

Nice-to-haves

• 3 years of industry experience in a software development environment.

Benefits

• 100% premium coverage for employee medical insurance
• Approximately 75% premium coverage for dependents
• 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
• 17 days of Paid Personal Time Off (PPTO)
• 10 paid sick days per year
• 12 weeks of paid Parental leave
• 8 weeks of paid Supplemental Disability
• Mental and emotional health benefits through EAP and Lyra
• 401K company match
• Gym and cellphone service reimbursements