Deskripsi Pekerjaan
Join ByteDance's Global Payment team at the forefront of financial technology innovation! As a Machine Learning Engineer Intern (PhD), you'll contribute to cutting-edge payment solutions that serve millions of users worldwide. This internship offers unparalleled opportunities to apply advanced ML techniques to real-world challenges in transaction processing, fraud detection, and payment optimization. You'll collaborate with world-class researchers and engineers to develop scalable algorithms that enhance security, efficiency, and user experience in digital payments. ByteDance provides a dynamic environment where your PhD research can directly impact global financial systems while gaining exposure to fintech's most complex problems. Ideal for PhD candidates passionate about bridging academic research with industrial applications in ML and payment systems.
Tanggung Jawab
- Design and implement ML models for payment fraud detection, risk assessment, and transaction analysis
- Collaborate with cross-functional teams to integrate ML solutions into payment infrastructure
- Analyze large-scale transaction data to identify patterns and optimize payment processing
- Research and apply state-of-the-art ML techniques to address emerging payment challenges
- Develop and maintain data pipelines for real-time payment analytics
- Participate in code reviews and contribute to the team's ML codebase
- Present findings and model performance to technical stakeholders
Kualifikasi
- Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or related field
- Strong programming skills in Python with experience in ML frameworks (TensorFlow/PyTorch)
- Experience with data processing tools (SQL, pandas, Spark) and large-scale datasets
- Knowledge of ML algorithms (supervised/unsupervised learning, deep learning)
- Familiarity with fintech/payment systems or financial data analysis is a plus
- Excellent problem-solving skills and ability to communicate technical concepts
- Previous internship or research experience in applied ML preferred