Senior Machine Learning Engineer - Multimodal Medical Imaging AI

About Us

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 Senior Machine Learning Engineer to build 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 and product delivery.

Responsibilities

• Design, train, validate, and optimize medical imaging foundation models and multimodal AI systems.
• Work on image-text alignment, report generation, lesion detection, classification, segmentation, and clinical finding extraction.
• Improve model performance through data iteration, supervised fine-tuning, post-training, prompt engineering, and evaluation-driven optimization.
• Build data, training, evaluation, and deployment pipelines for large-scale medical imaging datasets.
• Collaborate with software engineers to support efficient inference and deployment.
• Work with doctors and clinical experts to define clinically meaningful outputs, evaluation standards, and product workflows.
• Track frontier research in medical imaging AI, VLMs, LLMs, and multimodal learning, and apply relevant methods to real projects.
• Contribute to technical documentation, 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 in related field 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.
• 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.
• Publications, AI competition results, open-source projects, or deployed medical AI products.
• Experience working with radiologists, hospitals, clinical validation, or healthcare AI productization.

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• 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.

How to Apply

Please send your CV and a brief note about your relevant experience. GitHub, publications, competition records, or portfolio are welcome if applicable.