Staff Engineer, Machine Learning and Medical Image Analysis

Friday 28th June 2024

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Organization Noah Medical
Location San Carlos, CA
Title Staff Engineer, Machine Learning and Medical Image Analysis
Closing date Sep 30, 2024
Description Noah Medical is building the future of medical robotics. Our next generation robotic platform targets early diagnosis and treatment of patients across multiple indications. We are looking for exceptional engineers and key team members. We are a dynamic team dedicated to revolutionizing medical procedures with the state-of-the-art technologies to be accurate, efficient, easy and consistent. It consists of product management, clinical engineering and engineers from different disciplines closely working with the customers to define and create the future.
-Work with cross functional teams to identify concepts and solutions
-Research, prototype and iterate algorithmic, machine learning and software solutions
-Quickly prototype and evaluate concepts
-Perform thorough technical evaluation and make data-driven decisions
-Contribute high-quality software implementations that can be incorporated into a medical device
-Mentor junior engineers and interns
-Support the definition of ML processes and best practices, build infrastructure
-Draft technical documentation and patent disclosures / applications
About You:
-PhD in ML/AI, Computer Science, Electrical Engineering, Biomedical Engineering, Radiology or a similar field, exceptional MS degree will be considered
-Strong technical skill and track record of excellence with 8+ years of total experience of algorithm development for machine/deep learning and medical image analysis
-Mastery of the state-of-the-art deep learning models for the above areas and experience on model deployment in commercial products
-Publication record in top conferences such as CVPR, MICCAI is highly desirable
-Proficiency in Python, as well as deep learning frameworks; experience with C++
-Experience of full cycle of product development is highly desirable
-Knowledge in FDA regulation on AI/ML and hands-on experience of FDA submission of machine learning algorithms is highly desirable
-Familiarity with ML infrastructure (hardware and software), processes and best practices
-Strong leadership in leading projects and collaboration skills
-Excellent communication skills to convey complex technical concepts to non-technical stakeholders
-Experience with data curation for machine learning
-Experience with pulmonology is a plus
If you are interested, please submit your resume via our career site: