Machine Learning Engineer, Medical Imaging
We’re recruiting an ML Engineer with a passion for developing production-grade ML applications that improve patient care. You will have the opportunity to develop computer vision models for real-world clinical challenges.
Responsibilities & Expectations:
- Work with a multi-disciplinary team of clinicians, software engineers, and business professionals to understand the problems we are solving and the data we work with
- Build and maintain a scalable machine learning infrastructure for model training and deployment
- Build and debug state of the art machine learning models
- Develop novel labeling strategies to generate training data at scale
- Present your work to team members, clients, and at conferences
Qualifications:
- Bachelor's degree in Computer Science (or equivalent)
- 3+ years of model prototyping experience in PyTorch
- Strong programing skills in languages including Python and C++
- Python development experience is required
- Experience in training deep neural networks
- Experience with cloud-based frameworks including AWS, GCP or Azure
- Experience with Git, or equivalent version control system
- Experience with test-driven development and common software test frameworks
- Good written and verbal communication skills in English
- You are excited about entrepreneurship, taking things from 0 to 1, and have a continuous learning mindset.
- You thrive when you have autonomy and ownership over your work
Nice to have:
- Experience with MLOps tools
- Experience with GPU programming
- Experience in the medical domain including DICOM and other imaging modalities
- Experience building deep learning models on 3D data
- Experience using statistical tools such as R