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

BYTEDANCE PTE. LTD.; Singapore; Vor Ort; SGD 120.000 - 180.000; Vollzeit

Zusammenfassung

ByteDance Singapore is seeking a highly capable researcher/engineer to develop domain-specific machine learning models, LLMs and AI agents to decode and prevent cross-domain fraudulent activities on our platforms.

The role involves analyzing massive security data to identify abnormal user behavior, productionizing AI pipelines for real-time prevention, and working with cross-functional teams to mitigate business risks. Graduation date and availability should be stated in your resume.

Qualifikationen

• Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Good coding skills in one or more programming language.

Aufgaben

• Develop domain-specific ML/LLMs/Agents to decode and prevent cross-domain fraudulent activities.
• Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
• Productionize AI agent pipelines engineered for real-time prevention under massive global traffic.
• Analyze/test the effectiveness of the built solutions.
• Work in a cross-functional team setting to mitigate business risks.
• Work with relevant software platform to develop/deploy/monitor the models.

Kenntnisse

Good coding skills in one or more

Ausbildung

PhD in Software Development, Computer Science, Computer Engineering

Tools

PyTorch

Scikit-learn

LangChain

Hugging Face Transformers

Jobbeschreibung

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

Diversity & Inclusion

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

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.

Responsibilities

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


• Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.


• Productionize AI agent pipelines engineered for real-time prevention under massive global traffic.


• Analyze / test the effectiveness of the built solutions.


• Work in a cross-functional team setting to mitigate business risks.


• Work with relevant software platform to develop/deploy/monitor the models.

Minimum Qualifications

• Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.


• Good coding skills in one or more programming language.

Preferred Qualifications

• Good knowledge on machine learning / LLM / Agentic system and hands-on experience with popular frameworks such as pytorch, Scikit-learn, LangChain, Hugging Face Transformers.


• Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.