Staff Machine Learning Software Engineer

About the position

This role will be part of Intuitive Intraoperative Intelligence team that aims to improve surgical outcomes and efficiency by innovating in imaging, machine learning, and augmented reality. We work to empower the surgeon by extracting new information from the surgical scene, presenting it with meaningful visualization, and synthesizing it in a way that supports surgical decision making. The ideal candidate will have a strong background in machine learning and system software engineering, with a focus on developing algorithms for multi-modal medical imaging applications.

Responsibilities

• Design and develop interactive ML applications for surgeons and the OR staff that aid in surgical navigation and guidance.
• End-to-end performance and latency testing and providing solutions that optimize user experience.
• Collaborate with cross-functional teams to integrate these applications into our imaging software platform.
• Participate in code reviews and contribute to the continuous improvement of our software engineering practices.
• Document technical specifications and maintain comprehensive records of algorithm development processes.

Requirements

• Master's or PhD degree in Computer Science, Engineering, or a related field.
• A minimum of five years' experience in machine learning and/or computer vision is required.
• A production level experience with machine learning frameworks such as Torch, TensorFlow, and/or TensorRT is required.
• Proficiency in C++, CUDA, and Python programming.
• Experience with embedded systems software development is required.
• Demo of working software projects in the areas of ML or CV is a big plus.