Machine Learning Engineer (Aftersale Experience), TikTok E-commerce Governance

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the team
The team use the most advanced AI technology to combat various risks/violations in TikTok's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

- Utilize algorithms to expand the coverage of user rights in the after-sales process, ensuring a comprehensive and satisfactory experience for our customers.
- Develop and implement uplift models to optimize subsidy ranges in the after-sales domain, maximizing the return on investment (ROI) for subsidy projects.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to gather requirements, design solutions, and integrate algorithms into our e-commerce platform.
- Conduct data analysis and experimentation to identify patterns, trends, and opportunities for improving the after-sales experience and subsidy strategies.
- Continuously monitor and evaluate the performance of implemented algorithms, making necessary adjustments and improvements based on feedback and data insights.
- Stay updated with the latest industry trends, research advancements, and best practices in e-commerce algorithms and after-sales optimization techniques.

Qualifications

- Bachelor's degree or above in computer science or related field
- Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++
- Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience
- Familiar with 1-2 areas in Uplift Model, Causal Inference model, Causal Forest, GBDT
- Excellent analytical and problem-solving skills, passionate about challenging problems
- Good team spirit and strong communication skills

Preferred Qualifications:
- Experience in user growth/subsidy/marketing plan/platform governance or overseas internet/e-commerce business is preferred.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.