Senior AI/ML Engineer – Medical Imaging
At CPML, we’re looking for a highly skilled AI/ML Engineer to join our team.
Carry out product-driven research on novel machine learning methods to medical imaging data.
Leverage internal high-performance computing system to train and productionize our models at scale.
Work closely with domain experts on cross-disciplinary teams to generate actionable insights that impact phenotype, biomarker, and clinical endpoint development.
Contribute to our developing codebase with well-tested, production-ready code.
Competitive candidates will have in-depth knowledge of machine learning with a track record of developing machine learning and especially deep learning models for solving challenging real world scientific problems. They should be comfortable with writing quality, well-documented, and well-tested code in the AI/ML space and operate in an agile environment.
Masters or Ph.D. in computer science, engineering, math or biological sciences, or similar practical experience in an industrial or research setting.
Experienced in machine learning and software engineering best practices with advanced skills in Python.
Experienced with developing, troubleshooting, and validating deep learning models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) using PyTorch, TensorFlow, or other deep learning frameworks.
Experienced with one or more open-source computer vision libraries such as Pillow, scikit-image, and OpenCV.
Experienced in working with clinical imaging data from any medical imaging modality.
Experienced with working in a collaborative CI/CD software development environment, including use of git, peer code review and independent authorship of well tested, easily maintained, scalable, and documented code.
Knowledge in disease biology.
Track record of writing software in a team in industrial environments or open-source projects.
Track record of projects or peer-reviewed publications at the intersection of computer vision and medical imaging.
Mentality of committing early and often, metrics before models, and shipping high-quality production code.