Senior Machine Learning Engineer, Global Payment Decision Science - USDS

Team Intro
The Global Payment team of U.S. Data Security department of TikTok provides payment solutions - including payment acquisitions, disbursements, transaction monitoring, payment method management, foreign exchange conversion, accounting, reconciliations, and so on - to ensure that users have a smooth and secure payment experience on TikTok platform.

The Global Payment Decision Science team is responsible for building data science and machine learning solutions to optimize our payment services leveraging large scale datasets and advanced algorithms. These solutions are key components for various business use cases, such as financial risk, payment compliance, marketing growth, and more.

On-site presence across teams allows the company to operate with greater speed, alignment, and agility — especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule. The specific requirements may vary from team to team.

Responsibilities:
You will be responsible for designing and building advanced data science and algorithm solutions to solve interesting and impactful business problems, such as fraud prevention, AML, user experience customization and optimization, campaign management, etc.

Detailed job responsibilities include:
- Understand the payment business, translate business problems into data science and algorithm solutions where it fits
- Apply cutting edge machine learning technologies in various payment business use cases
- Own end to end model solution lifecycle and work with stakeholders to deliver business impact
- Improve modeling infrastructures, labels, features, and algorithms towards robustness, automation, and generalization
- Up-level risk machine learning excellence in privacy/compliance, interoperability, risk perception, and analysis
- Explore and apply advanced AI technology (DNN, LLM) to payment data solutions.

Minimum Qualifications:
- Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors
- Proficient in data processing and analytics in big data environment using SQL/Hive/Spark etc
- Mastery of at least one prevalent programming language for data science, such as Python, Java, or Scala

Preferred Qualifications:
- Experienced in Machine Learning and Deep Learning algorithms
- 5+ years of machine learning-related experience, preferably in trust & safety/risk management/compliance
- Working experience in payment and fintech industry
- E-commerce or payment compliance experience