Sr. Machine Learning Engineer, Medical Imaging

Company Description

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do  a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like the da Vinci surgical system and Ion-have transformed how care is delivered for millions of patients worldwide.

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life.

If you're ready to contribute to something bigger than yourself and help transform the future of healthcare, you'll find your purpose here.

Job Description

Job Description

The Ion endoluminal system is Intuitive's new robotic platform for minimally

invasive biopsy in the peripheral lung, with an initial goal of improving the early

diagnosis of lung cancer. We are seeking a senior algorithm engineer to play a

lead technical role in conceptualizing, designing, and evaluating our next
- generation planning and guidance software. This role is dedicated to developing

advanced algorithms to analyze real-time ultrasound (US) imaging- specifically

endobronchial ultrasound (EBUS) and min-profile ultrasound probes - for the

accurate detection, segmentation, and classification pulmonary structures. This

position focuses heavily on processing temporal, high-resolution ultrasound video

streams, mitigating inherent acoustic artifacts, and fusing ultrasound data with

pre-operative imaging modalities to improve targeting confidence and clinical

outcomes Drive the full cycle of medical imaging analysis software development,

developing algorithms from R&D concepts into robust, commercial

medical device products.

* Design, prototype, and implement advanced computer vision and

machine learning algorithms tailored for real-time processing of diverse

ultrasound modalities, including EBUS and ultrasound probes.

* Develop specialized algorithms to handle the unique challenges of high
- frequency ultrasound data, including speckle reduction, acoustic

shadowing mitigation, and temporal tracking across video frames.

* Apply and fine-tune state-of-the-art architectures, including spatio
- temporal Vision Transformers (ViTs), recurrent networks, nnU-Net, Graph Neural Network (GNN) and Diffusion models,

adapting them for noisy, high-frame-rate

clinical ultrasound datasets.

* Architect and execute model deployment

pipelines, seamlessly integrating trained

models into high-performance C++ production environments, utilizing

techniques like quantization, pruning, and hardware acceleration to

ensure real-time performance on constrained medical systems.

* Support system integration and testing while generating formal design

documentation and patent applications.

Qualifications

Qualifications

* MS or PhD in Computer Science, Electrical Engineering, Biomedical

Engineering, or a related field.

* 5+ years of hands-on industrial experience in algorithm development, with a deep

specialization in medical imaging and computer vision.

* Exceptional proficiency in Python and C++, with a deep understanding of modern

software component design for production environments.

* Expert knowledge of ML frameworks and software toolkits, including PyTorch,

OpenCV, MONAI, ITK, VTK, and model optimization tools such as Tensor

RT or

ONNX.

* Strong domain expertise in ultrasound physics, acoustic image processing, and

temporal/video data analysis is highly preferred, especially experience with data

from EBUS or high-resolution small-profile transducers.

* Experience with spatiotemporal deep learning architectures and deployment of

low-latency real-time applications for ultrasound imaging applications.

* Experience or knowledge of the development of AI/ML features in strict alignment

with Good Machine Learning Practice (GMLP) principles, ensuring data

representativeness and model…