Staff Machine Learning Engineer

📋 Description

• Design, train, and evaluate deep learning models for semantic understanding of surgical scenes
• Develop structured modeling and inference approaches using statistical modeling, optimization, and
• Develop machine learning components and supporting algorithms that meet real-time performance
• Own the end-to-end model lifecycle from research prototype to production: architecture design
• Define evaluation methodology with clinically meaningful metrics and statistical validation
• Collaborate with surgeons, clinical scientists, and human factors engineers to translate clinical

🎯 Requirements

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, Biomedical Engineering
• 5+ years of post-Ph.D. or 7+ years of post-M.S. industry or applied research experience developing
• Deep expertise in deep learning for visual recognition, including semantic segmentation, object
• Strong foundation in probabilistic modeling and Bayesian inference, including experience with one
• Proficiency in 3D geometry and spatial reasoning: coordinate frame transformations, rotation
• Hands-on experience with C++ development in a production context. Ability to read and navigate

🎁 Benefits

• Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity.
• Equal Opportunity Employer
• Preference given to qualified candidates who do not reside in certain states (Alabama, Arkansas