Staff AIML Engineer
Westford, MA - USA
Job Summary
- Design develop and deploy machine learning and deep learning models for clinical applications including image segmentation feature detection classification and quantitative analysis of OCT images.
- Lead the development of advanced semantic segmentation algorithms for OCT-based vascular imaging applications.
- Own end-to-end ML lifecycle including data preparation annotation strategies model development training validation performance optimization and deployment.
- Collaborate with clinical and V&V teams to define clinically meaningful outputs evaluation metrics and validation methodologies.
- Develop algorithms capable of robust performance across diverse patient populations imaging conditions and clinical use cases.
- Optimize models for real-time or near-real-time inference in embedded or product environments.
- Evaluate and integrate state-of-the-art machine learning approaches including foundation models self-supervised learning and generative AI techniques where appropriate.
- Contribute to software architecture code reviews and engineering best practices to ensure scalable and maintainable AI solutions.
- Generate technical documentation supporting design controls verification validation risk management and regulatory submissions.
- Masters or Ph.D. in Computer Science Electrical Engineering Biomedical Engineering or a related field with a focus on AI/ML.
- 7 years of industry experience developing machine learning deep learning or computer vision solutions or 4 years of relevant industry experience with a PhD.
- Strong expertise in deep learning architectures and modern machine learning approaches for image analysis including convolutional neural networks and vision transformers
- Proven experience developing semantic segmentation object detection classification and image analysis algorithms.
- Strong programming skills in Python and experience with ML frameworks such as PyTorch TensorFlow or equivalent.
- Experience designing experiments evaluating model performance and applying statistical methods for model validation.
- Demonstrated ability to translate research concepts into prototype and production-quality software solutions.
- Excellent communication and cross-functional communication skills.
- Experience with OCT IVUS CT MRI or other medical imaging modalities including multi-modal image registration techniques.
- Understanding of OCT imaging principles image formation physics and common imaging artifacts.
- Experience developing AI/ML solutions for 3D volumetric temporal longitudinal or sequential imaging datasets.
- Experience with foundation models generative AI self-supervised learning multimodal learning or other advanced AI approaches applied to medical imaging.
- Expertise in model deployment and optimization for real-time or near-real-time inference using technologies such as ONNX TensorRT TorchScript or equivalent frameworks.
- Experience establishing scalable MLOps workflows including data and model versioning experiment tracking continuous integration/deployment and production ML pipelines.
- Familiarity with medical device software development processes in regulated environments including FDA regulations design controls V&V and AI/ML-related FDA guidelines.
- Demonstrated ability to translate research-grade algorithms into robust production-ready solutions for clinical or commercial applications.
The base pay for this position is
$99300.00 $198700.00In specific locations the pay range may vary from the range posted.
Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
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Staff IC
About Company
WHO WE ARE CREATING LIFE-CHANGING TECHNOLOGY From removing the regular pain of fingersticks as people manage their diabetes to connecting patients to doctors with real-time information monitoring their hearts, from easing chronic pain and movement disorders to testing half the world’s ... View more