Staff Engineer, Machine Learning and Medical Image Analysis

Job Description

• 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

Qualifications

• 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

Benefits

• 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