Senior Machine Learning Engineer

Medical Image Insights is a medical imaging AI company focused on building software platforms, data infrastructure, and AI solutions for medical imaging workflows. Our work spans medical imaging data platforms, AI-assisted diagnosis, radiology workflow tools, multimodal AI, report generation, and clinical AI deployment.

The company works closely with medical imaging service networks, hospitals, research institutions, and technology partners to develop AI products for real-world clinical and research scenarios. We are now building our Hong Kong office to support international product development, technical collaboration, and overseas deployment.

The Role

We are looking for a full-time Senior Machine Learning Engineer to conduct Hong Kong-based R&D on multimodal medical imaging AI systems, including foundation models, image-report alignment, report generation, lesion detection, segmentation, and clinical AI applications.

This role combines applied research with strong engineering execution to develop new and substantially improved medical imaging AI systems for clinical workflows. The work will focus on resolving technical challenges in medical image understanding, multimodal learning, model training, evaluation, and deployment-oriented optimization.

Responsibilities

• Conduct R&D on medical imaging foundation models and multimodal AI systems for CT, MRI, X-ray, ultrasound, and other imaging modalities.
• Design, train, validate, and optimize models for image-text alignment, radiology report generation, lesion detection, classification, segmentation, and clinical finding extraction.
• Investigate and apply advanced methods in visual pretraining, vision-language models, supervised fine-tuning, post-training, prompt engineering, and evaluation-driven model improvement.
• Build and improve data, training, evaluation, and model optimization pipelines for large-scale medical imaging datasets.
• Develop methods to improve model generalization, robustness, clinical accuracy, inference efficiency, and evidence-based output generation.
• Collaborate with doctors and clinical experts to define clinically meaningful AI outputs, evaluation standards, and validation workflows.
• Collaborate with software engineers to research and implement efficient inference, model serving, and deployment-oriented validation for medical imaging AI systems.
• Track frontier research in medical imaging AI, VLMs, LLMs, and multimodal learning, and translate relevant methods into internal R&D projects.
• Contribute to technical documentation, R&D project documentation, internal knowledge bases, patents, papers, and international AI challenges where appropriate.

Requirements

• Master’s degree or above in Computer Science, AI, Biomedical Engineering, Medical Image Analysis, Machine Learning, or a related field. PhD is strongly preferred.
• Strong experience in computer vision, multimodal AI, medical imaging AI, visual pretraining, or foundation models.
• Strong Python and PyTorch skills.
• Solid understanding of deep learning training, validation, metrics, data preprocessing, and experiment design.
• Experience with 2D or 3D medical imaging data such as CT, MRI, X-ray, ultrasound, or PET.
• Strong engineering ability and ability to quickly implement, test, and improve technical ideas.
• Ability to design experiments, analyze model failure cases, and improve models through systematic data and training iteration.
• Clear communication skills and ability to explain technical progress in a structured way.

Nice to Have

• Experience with radiology report generation, image-report alignment, radiology VLMs, or multimodal post-training.
• Experience with MAE, ViT, CLIP-style models, LLMs, VLMs, SFT, reinforcement learning, CoT, prompt engineering, or model evaluation.
• Experience with MONAI, nnU-Net, DICOM, NIfTI, 3D CNNs, distributed training, model serving, or GPU inference optimization.
• Experience with model generalization, domain adaptation, weak supervision, active learning, or evidence-grounded medical AI.
• Publications, AI competition results, open-source projects, or deployed medical AI products.
• Experience working with radiologists, hospitals, clinical validation, or healthcare AI productization.
• Mandarin Chinese is preferred for collaboration with our China-based R&D, product, and clinical teams.

Compensation

HK$63,333–95,000 per month, depending on experience and qualifications. Exceptional candidates with highly relevant medical imaging AI or multimodal AI experience may be considered above this range. Work visa sponsorship is available for the right candidate.

Why Join Us

• Join the early AI team of our Hong Kong office.
• Work on medical imaging foundation models, multimodal AI, report generation, and clinical AI deployment.
• Build AI systems that move from research into real hospital-facing products.
• Work with large-scale real-world medical imaging data and clinical scenarios.
• Collaborate with doctors, AI researchers, engineers, product teams, and international partners.
• Competitive compensation, with equity available for exceptional candidates.