Machine Learning Engineer Graduate (Global E-Commerce, Risk Control) - 2027 Start

About the Team

The E-Commerce Risk Control (ECRC) team is missioned: - To protect E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

Develop domain-specific machine learning / LLMs / Agents to decode and prevent intricate, cross-domain fraudulent activties.

1. Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
2. Productionize AI agent pipelines engineered for real-time prevention under massive global traffic.
3. Analyze / test the effectiveness of the built solutions.
4. Work in a cross-functional team setting to mitigate business risks.
5. Work with relevant software platform to develop/deploy/monitor the models.

Qualifications

Minimum Qualifications

1. Individuals who are completing or have recently completed a Bachelor's degree or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
2. Good coding skills in one or more programming language.

Preferred Qualifications

1. Good knowledge on machine learning / LLM / Agentic system and hands-on experience with popular frameworks such as pytorch, Scikit-learn, LangChain, Hugging Face Transformers.
2. Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.