About The Team: Noah Medical's Imaging and Machine Learning team is responsible for the development of algorithmic and software solutions that provide advanced image guidance for our endoluminal medical devices. We are a dynamic, multidisciplinary team of computer vision, image processing, machine learning and software engineers dedicated to pushing the boundaries of medical imaging with state-of-the-art technologies and creating high performance, low latency innovative software products. We embrace transparent communication, first principle thinking, and data-driven decision making.
We welcome candidates who are passionate about new technologies for medical imaging applications, possess technical excellence in their respective fields, are eager to learn new skills, embrace collaboration, and are ready to turn ideas into working software products to make an impact in healthcare.
A Day In The Life Of Our Senior Algorithm Engineer (Medical Imaging and Machine Learning): Understand clinical applications and customer needs, gather feedback on software performance, user experience, and feature requests to drive product improvements. Be the owner of the treatment planning algorithms. Research, develop, evaluate, and iterate advanced image segmentation, image processing, and machine learning algorithms for medical imaging. Develop, test, and maintain high quality software applications using C++. Evaluate and validate algorithms, implement robust performance measures, and conduct thorough testing and analysis to ensure accuracy and reliability. Develop automated tests to streamline the software development processes, perform software release tasks. Identify, diagnose, and resolve software issues reported by both internal and external users; work with field service engineers to provide support for customer issues. Develop 2D/3D image visualization and analysis tools. Create and maintain accurate documentation of technical design, evaluation, issue resolutions, and customer interactions. Support building ML data pipeline to power the algorithm development, support data curation and annotation, and improve machine learning HW/SW infrastructure. Be flexible and carry out other R&D and support tasks as assigned. About You: BS, MS or PhD in CS, EE, Biomedical Engineering, radiology or a related field. A passion for translating knowledge and ideas into real-life medical imaging products. A strong sense of ownership to build high quality software products. Proficiency in object-oriented software development in C++. 5+ years of experience in commercial software development. Proficiency in Python programming, as well as PyTorch/TensorFlow for machine learning algorithm development. Experience in image segmentation, including experience with medical image segmentation is highly desired. Experience in 2D/3D image processing and computer vision is beneficial. Experience with C#/GUI-development is very beneficial. Experience with version control tools like Git is beneficial. Strong analytical and problem-solving skills, with the ability to quickly turn abstract ideas into working algorithm prototypes. Excellent communication and documentation skills to convey complex technical concepts to non-technical stakeholders. Workplace Type: Hybrid
Benefits & Perks (For Full Time Employees): Competitive Salary. Comprehensive health insurance including Medical, Dental and Vision + HSA and FSA options. Equity & Bonus Program. Life Insurance (company paid & supplemental) and Disability insurance. Mental health support through medical insurance programs. Legal and Pet Insurance. 12+ paid holidays, 15-20 days of PTO + use-what-you-need sick days. Paid parental leave. In-office snacks and beverages. In-office lunch stipend. Learning & Development Opportunities: On-demand online training and book reimbursement. Team building and company organized social and celebration events.
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