Sr. Machine Learning Engineer, Medical Imaging

diagnosis of lung cancer. We are seeking a senior algorithm engineer to play a lead technical role in conceptualizing, designing, and evaluating our next- generation planning and guidance software. This role is dedicated to developing advanced algorithms to analyze chest medical images for complex lung diseases. This role focuses heavily on the processing and fusion of diverse imaging modalities-including CT, CBCT, and X-ray images-to perform robust lung structure segmentation, anomaly detection, and longitudinal disease tracking, ultimately improving clinical outcomes

Drive the full cycle of medical imaging analysis software development, developing algorithms from R&D concepts into robust, commercial medical device products.

• Design, prototype, and implement advanced medical imaging and machine learning algorithms tailored for advanced lung structure segmentation, registration, respiratory anomaly detection, and bronchial analysis.

• Apply and fine-tune state-of-the-art architectures, including nnU-Net, Vision Transformers (ViTs), DINO, Diffusion models, and Vision Language Models (VLMs), for clinical datasets.

• Architect and execute model deployment pipelines, seamlessly integrating trained models into high-performance C++ production environments, utilizing techniques like quantization, pruning, and hardware acceleration to ensure real-time performance on constrained medical systems.

• Support system integration and testing while generating formal design documentation and patent applications.

• MS or PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field.

• 5+ years of hands-on industrial experience in algorithm development, with a deep specialization in medical imaging and computer vision. A proven track record of shipping commercial AI/ML software products is bonus.

• Exceptional proficiency in Python and C++, with a deep understanding of modern software component design for production environments.

• Proven hands-on experience with ML frameworks and software toolkits, including PyTorch, OpenCV, MONAI, ITK, VTK, and model optimization tools such as TensorRT or ONNX.

• Experience or knowledge of the development of AI/ML features in strict alignment with Good Machine Learning Practice (GMLP) principles, ensuring data representativeness and model transparency.

• Excellent verbal and written communication skills for effective cross-functional collaboration with clinical and engineering teams

For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee's start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate's experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate's qualifications, consistent with applicable law.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed. I'm interested I'm interested Privacy Notice

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