Machine Learning Engineer (Computer Vision – Model Engineering)

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Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.

• Contribute to model development through architecture enhancements, custom heads, loss functions, and training strategy optimisation.
• Design and execute experiments to evaluate model improvements and performance trade-offs.
• Prototype, benchmark, and assess new architectures, techniques, and approaches against established baselines.
• Investigate edge cases and performance limitations, and improve model accuracy, robustness, and efficiency.
• Consider practical constraints such as latency, throughput, resource efficiency, and hardware-specific optimisation.
• Collaborate with engineering teams to improve dataset quality, model performance, and system reliability.

Requirements

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.

At least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models through academic, project, internship, or professional work.

• Hands-on experience with PyTorch and/or TensorFlow.
• Proficiency in Python and familiarity with Linux environments and command-line tools.
• Bonus Skills
• Experience modifying models beyond high-level APIs (e.g. custom heads, backbone modifications, loss functions, or training pipelines).
• Exposure to multimodal, vision-language, foundation, or open-vocabulary models.
• Experience with optimisation techniques such as quantisation, pruning, distillation.
• Familiarity with experiment tracking, reproducibility, or MLOps practices.
• Personal Competencies
• Strong interest in understanding how model architectures, data quality, and training strategies influence performance.
• Enjoy experimentation, performance analysis, and iterative model improvement.
• Eager to take ownership of model components and grow into increasingly complex model development responsibilities.
• Note: Due to the nature of the role, the position is considered only for candidates who are already based in Singapore.
• Application Instructions

Please submit your application via our website (URL: https://www.cynapse.ai/careers/), including your CV and responses to the following questions:

• Are you currently residing in Singapore?
• Are you legally authorized to work in Singapore?
• Will you require sponsorship now or in the future to work in Singapore?
• Do you have at least 2 years of hands-on experience training, fine-tuning, and evaluating computer vision models through academic, project, internship, or professional work?
• Kindly note that only shortlisted candidates will be notified.
• Apply for this position