Machine Learning Research Engineer

Our client is an AI technology company developing advanced solutions for enterprise and real-world applications. They are looking for a ML Research Engineer to join their AI Product team in Singapore. This is a hands-on research and engineering opportunity for someone who wants to work deeply with machine learning and deep learning models , rather than simply consuming pre-trained models or APIs. You will be involved in: • Designing and experimenting with neural network architectures, particularly CNNs and/or Transformer-based models • Training, fine-tuning and improving deep learning models for practical AI applications • Conducting structured experiments to evaluate model performance and reliability • Working with different training strategies, architectures and optimisation approaches • Selecting appropriate loss functions and understanding their impact on model performance • Evaluating how models generalise to unseen data and investigating potential limitations • Analysing experimental results and identifying opportunities to improve accuracy, robustness and efficiency • Working with datasets and data preparation as part of the model development process • Developing prototypes and proof-of-concept solutions to validate new AI approaches • Exploring modern AI developments, including Transformer-based, LLM and/or Vision-Language Model technologies • Collaborating with product and engineering teams to translate research ideas into practical, production-oriented solutions • The role provides exposure to the full ML research and development lifecycle, from architecture selection and experimentation through to model evaluation and optimisation. Requirements: • Master's or PhD in Computer Science, AI, Machine Learning, Mathematics, Engineering or a related technical field • Hands-on experience with neural network architectures, particularly CNNs and/or Transformer-based models • Demonstrated experience training, fine-tuning, evaluating or improving deep learning models, rather than only consuming pre-trained models or AI APIs • Experience evaluating model generalisation on unseen data • Understanding of loss functions and the ability to explain why a particular loss function was selected • Ability to explain and justify the model architecture used in previous AI/ML projects • Strong foundation in deep learning concepts, model training and optimisation • Strong Python/programming skills • Genuine interest in AI/ML research and deep learning Nice to Have: • Experience with PyTorch, TensorFlow or similar frameworks • Experience with LLMs, VLMs or foundation models • Experience with transfer learning, fine-tuning or knowledge distillation • Research publications or academic projects in AI/ML • Exposure to areas such as computer vision, NLP, reinforcement learning, edge AI, robotics, speech or time-series modelling Dear Applicant, If you or someone you know is interested, please send the CV directly to Ryan.Nguyen@evolutionjobs.sg (most preferred, as I may overlook some CVs due to the high volume). Please note that visa sponsorship is not available at this time.