- Singapore
Monee Hiring! Full Time Algorithm Engineer Intern - Monee Credit (Aug to Dec 2026) in - Ricebowl
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Responsibilities
Job Description
- Conduct research on cutting-edge sequence modeling and representation learning approaches, including Transformer-based architectures and transaction foundation models
- Read, reproduce, and implement recent papers related to user behavior modeling, sequential recommendation, NLP-inspired pretraining, and large-scale representation learning
- Build and optimize transaction sequence modeling pipelines using large-scale user behavioral and credit-related datasets
- Explore improvements in model architecture, training objectives, and feature representations to enhance downstream risk prediction performance
- Collaborate with risk modeling, data engineering, and strategy teams to evaluate and productionize research findings into real-world risk applications
- Undergraduates from a degree in Computer Science, Business Analytics and related fields
- Full-time interns preferred (3 to 6 months)
- Past internship experience in sequence modelling or NLP related model training is compulsory
- Strong programming skills in Python; familiarity with SQL and Spark/Hadoop is a plus
- Good understanding of machine learning and deep learning fundamentals, especially sequence modeling and Transformer architectures
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow
- Strong interest in large-scale AI models, representation learning, NLP-inspired modeling, or recommendation systems
- Ability to read and understand research papers and reproduce experimental results independently
- Strong analytical thinking and curiosity toward applying advanced AI techniques to real-world risk problems
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