AI/Algorithm Engineer – Vascular Imaging

About the role

Join Philips to bring advanced vascular imaging algorithms from validated prototypes into medical products that clinicians rely on every day. You will be part of a talented, cross‑functional team of engineers and scientists who take algorithms from ideation and prototyping, through data annotation and model development, to verification, validation, and regulatory submission in a regulated medical device environment.

Key responsibilities

• Port, optimize, and deploy existing deep learning pipelines across hardware platforms, improving memory use, throughput, and latency.
• Convert and integrate models across frameworks and runtimes (e.g., ONNX), working with software and systems engineers to deliver robust, maintainable product code.
• Build automated tests and benchmarks demonstrating that ported algorithms reproduce reference results, and document them as verification evidence.
• Develop new algorithms for X‑ray angiography, intravascular OCT/IVUS, and other cardiovascular imaging, from ideation and prototyping with clinical partners through product‑ready implementation.
• Drive data sourcing, curation, and annotation, and evaluate model performance with rigorous statistical methods.
• Contribute to verification, validation, risk management, and regulatory submissions for AI‑enabled medical devices.

Required profile

• At least 2 years of post‑graduation professional experience in algorithms, machine learning, or software development, preferably within a regulated medical device environment.
• Strong Python and TensorFlow skills, including model training, export, and inference, with experience optimizing deep learning inference on GPU and/or CPU using profiling, memory management, and batching.
• Disciplined software engineering practices such as automated testing, version control, and CI/CD.
• Bachelor’s degree or higher in Computer Science, Electrical Engineering, Biomedical Engineering, Applied Mathematics, Physics, Artificial Intelligence, or related field (Master’s or PhD a plus).
• Solid foundation in image processing and deep learning for computer vision, and ability to leverage modern generative AI tools such as coding assistants and LLMs.

Required skills

• Python
• TensorFlow
• ONNX
• PyTorch
• C++
• CUDA
• GPU and CPU optimization (profiling, memory management, batching)
• Automated testing, version control, CI/CD
• Image processing, deep learning, computer vision
• Generative AI tools (LLMs)

What we offer

• Salary range $129,000 – $205,000 USD per year.
• Annual incentive bonus and long‑term incentives.
• Comprehensive benefits including generous PTO, 401k match up to 7%, HSA contributions, stock purchase plan, and education reimbursement.