Senior Computer Vision Engineer

What You Will Do: Lead the development and optimization of state-of-the-art computer vision and Artificial Intelligence / machine learning (AI/ML) algorithms and models from conceptualization to deployment on both edge and cloud platforms. Conduct rigorous performance analysis to systematically improve the functionality of computer vision and AI/ML techniques within our product suite. Manage the entire lifecycle of data handling for machine learning models, ensuring compliance with privacy standards during data collection, processing, and labeling. Ensure the reliability and robustness of computer vision and machine learning applications under diverse operational conditions. Independently design, prototype, evaluate, optimize, implement and deploy computer vision and AI/ML algorithms as an integral part of AI-powered medical devices and technologies Be an expert in applying core machine learning techniques including deep learning, feature extraction, model training, evaluation and deployment to design and develop AI-powered medical devices. Skilled in quickly identifying key advances in the computer vision and AI/ML literature and relevance to problems being solved as well as explaining and justifying usage of new approaches through prototyping and demonstration Design and develop novel computer vision and/or machine learning algorithms in areas such as: real‑time scene and object tracking (e.g. face tracking, body tracking, key point estimation), depth sensing, 3D stereo and volumetric reconstruction, 2D / 3D medical imaging segmentation, deriving biomarkers from medical imaging such as CT scans, X‑Ray, MRI, etc. Collaborate with internal or external teams in acquiring, storing, organizing, annotating, versioning and processing large amounts of data needed for training computer vision and machine learning models Design algorithm evaluation frameworks, schedule and report algorithm, AI/ML model, and system performance regularly. Document and present progress in algorithm design, development, and evaluation (requirements/design/architecture/bugs/tests). What You Will Need: Required Qualifications: Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics, or related field AND 2 years of industry experience OR Master's/PhD Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics Strong understanding of medical imaging modalities such as CT, MRI, X‑ray, ultrasound, fluoroscopy, angiography or endoscopy, including common artifacts, acquisition variability, and clinical workflow constraints Experience with medical imaging data formats and standards, including DICOM, NIfTI, PACS workflows, metadata handling, and image anonymization Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C++) Preferred Qualifications: Experience with common AI/ML tools and frameworks such as PyTorch, PyTorch-Lightning, Tensorflow/keras, OpenCV, pandas, scikit-learn, MLFlow, ONNX, cloud (one of AWS/GCP/Azure), docker container. Experience in designing and training and deploying production‑grade deep learning architectures for computer vision applications with a broad under‑standing of latest CV / DL methods and literature. $116,100 - $193,400 USD Annual #J-18808-Ljbffr