Overview
Skills
Job Details
AI Engineer, Medical Imaging
We are seeking a Senior level AI Engineer to join our algorithm team as a contractor, focused on developing and optimizing AI models for medical imaging applications. The ideal candidate will have deep expertise in convolutional neural networks (CNNs), experience with embedded system integration, and strong software engineering fundamentals.
This position plays a critical role in refining our AI pipeline for intravascular ultrasound (IVUS) imaging. You ll be working alongside an established algorithm team with an existing infrastructure for data collection, training, and deployment. This is a Bay Area-based remote role with occasional onsite requirements (once or twice per month).
Responsibilities:
- Train, evaluate, and optimize CNN-based AI models for medical imaging applications
- Perform hyperparameter tuning and iterative refinement of models using TensorFlow and PyTorch
- Support retraining efforts as new data is acquired from hospital partners
- Integrate AI modules into embedded systems (Windows or Linux-based with Intel CPU and small GPU)
- Collaborate with algorithm, engineering, and regulatory teams to ensure AI models meet technical and compliance standards
- Assist in basic image pre- and post-processing using Python
- Participate in design reviews, documentation, and regulatory discussions as needed
Requirements:
- 5+ years of experience in AI model development, training, and deployment
- Proficient with TensorFlow and PyTorch
- Strong Python programming skills and a solid foundation in software engineering
- Experience integrating AI models into embedded environments
- Solid understanding of CNNs and image processing techniques
- Background in medical imaging (e.g., IVUS, ultrasound) is a strong plus
- Familiarity with regulatory requirements (e.g., FDA, ISO) is a plus
- Excellent problem-solving, communication, and documentation skills
Location: Pleasanton, CA Hybrid/ 2 Days in office per month
Duration: 4+ months with possibility of extension.
Pay Range: $65-$85 per hour
Please submit resumes to