Machine Learning Engineer Intern (Global Payment) - 2026 Start (PhD)

Join ByteDance’s Global Payment Team as a Machine Learning Engineer Intern and contribute to cutting-edge payment solutions that power seamless transactions worldwide. This role is designed for PhD candidates passionate about AI-driven financial technology. ByteDance, a leading global technology company, is known for its innovative approach to solving complex problems with cutting-edge machine learning and AI. Based in Canggu, Bali, you'll have the opportunity to work in a dynamic and collaborative environment while contributing to projects that impact millions of users.

As a Machine Learning Engineer Intern, you'll be part of a team that develops and implements machine learning models to enhance payment security, fraud detection, and user experience. You'll work closely with cross-functional teams to understand business requirements and translate them into technical solutions. This internship offers a unique opportunity to gain hands-on experience in a fast-paced, globally recognized company.

In this role, you'll have the chance to work with state-of-the-art tools and technologies, including TensorFlow, PyTorch, and scikit-learn. You'll also collaborate with data scientists, software engineers, and product managers to deliver high-impact solutions. This internship is perfect for PhD candidates looking to apply their academic knowledge to real-world problems and make a significant contribution to the future of global payments.

📋 Tanggung Jawab Pekerjaan

• Develop and implement machine learning models for payment security and fraud detection.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Conduct data analysis and feature engineering to improve model performance.
• Optimize machine learning algorithms and models to enhance payment processing efficiency.
• Participate in code reviews and contribute to the development of scalable and robust machine learning systems.
• Stay updated with the latest advancements in machine learning and AI, and apply new techniques to improve existing solutions.
• Document and present findings and recommendations to stakeholders.
• Assist in the deployment and monitoring of machine learning models in production environments.

🎓 Kualifikasi & Syarat

• PhD in Computer Science, Machine Learning, or a related field.
• Strong background in machine learning, with a focus on deep learning and NLP.
• Experience with Python, TensorFlow, PyTorch, and scikit-learn.
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms such as AWS or GCP.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Strong communication and collaboration skills, with the ability to work effectively in a team.
• Passion for AI-driven financial technology and a desire to make a significant impact on global payments.

🛠️ Keahlian

Lowongan Terkait