Sr. Machine Learning Engineer
About The Position
Digital Diagnostics is looking for a Senior Machine Learning Engineer to join our growing team! As a Senior Machine Learning Engineer, you will assist with our R&D and algorithmic development efforts. Additionally, you will participate in the development of novel machine learning and computer vision algorithms which form the core of our medical device products, design efficient experiments to analyze current algorithm performance, report on results and assist in determining future direction for algorithmic enhancement, iterate and improve existing models, contribute to R&D infrastructure, actively participate in problem solving discussions, perform code reviews, and actively participate in continuous learning of new technologies.
Requirements
- Ph.D. in technical field, or MS in a technical field with 2+ years of industry experience, or 5+ years of industry experience
- Experience with major machine learning framework (e.g. TensorFlow, PyTorch)
- Experience in training deep learning models for computer vision tasks
- Python, or C++ experience
- Image processing experience (e.g. OpenCV, ITK)
Nice To Haves
- Outstanding analytical and problem-solving skills.
- Experience with ML training platforms like sagemaker, zenML
- Strong programming skillset.
- Experience with databases.
- Specific expertise in any of the following fields: medical image analysis, algorithm design, segmentation, object detection, computer vision.
- Knowledge of the medical device/software development industry.
- Interest in medical device and creating products that impact patients.
- Strong team player
- Ability to take ownership of projects
Responsibilities
- Participate in the development of the novel machine learning and computer vision algorithms which form the core of our medical device products
- Design efficient experiments to analyze current algorithm performance, report on results and assist in determining future direction for algorithmic enhancement.
- Iterate and improve existing models
- Contribute to R&D infrastructure
- Actively participate in problem solving discussion
- Perform code reviews
- Actively participate in continuous learning of new technologies
Benefits
- Supportive and flexible work environment
- Remote-friendly culture
- Access to competitive benefits
- Mission-driven teammates who are working to tackle complex challenges to help improve the accessibility and quality of medical diagnosis
- Core behaviors that inspire day-to-day interactions
- Dedication to career growth and development of our team members through mentorship programs and defined growth paths
- Virtual social and wellness events
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
