The posting
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 [email protected] (most preferred, as I may overlook some CVs due to the high volume).
Please note that visa sponsorship is not available at this time.
