About the Job
Our client is a leading research-driven organisation at the forefront of Artificial Intelligence and advanced engineering innovation. With a strong focus on applied R&D, they are driving impactful projects in Natural Language Processing (NLP) and Large Language Models (LLM) that address complex, real-world challenges.
What You Will Do
• Design and execute research methodologies and experiments focused on improving the core components of large language models.
• Conduct independent NLP and LLM research, communicating results clearly to both technical and non-technical stakeholders.
• Collaborate with engineering and data teams to curate, preprocess, and refine large-scale datasets for training and evaluation.
• Apply advanced analytical and machine learning techniques to extract insights and enhance generative AI performance.
• Participate in code reviews, architecture discussions, and documentation to uphold technical and research standards.
• Translate research findings from low Technology Readiness Levels (TRL) into practical, deployable engineering applications.
What You Bring
• PhD or Master’s degree in Computer Science, Computer Engineering, Statistics, or a related field.
• Minimum 2 years of hands-on experience in NLP or LLM research (e.g. information retrieval, entity relation extraction, reasoning, or prompt engineering).
• Proven experience with generative AI techniques such as synthetic data generation or model fine-tuning.
• Strong proficiency with TensorFlow, PyTorch, or similar ML frameworks.
• Demonstrated ability to apply machine learning and deep learning techniques to solve complex research problems.
• Excellent communication and documentation skills, capable of articulating research outcomes to varied audiences.
• A collaborative and adaptable mindset, with proven success in multidisciplinary project environments.
Do note that we will only be in touch if your application is shortlisted.
Robert Walters (Singapore) Pte Ltd
ROC No.: 199706961E | EA Licence No.: 03C5451
EA Registration No.: R1872517
