Machine Learning Engineer

Intuitive•Sunnyvale, CA

22h

About The Position

The Future Forward AI Research group within Intuitive Surgical has an immediate opening in Sunnyvale, CA for a Machine Learning Engineer with focus on Computer Vision, Deep Learning, Generative AI and Robotics, contributing to new technology development for next-generation robot-assisted surgery platforms. This role is an exciting opportunity to join a newly formed team and contribute to its growth and it will give you an opportunity to test your knowledge in a challenging problem-solving environment. The successful candidate must excel in a high-energy, focused, small-team environment, be able to initiate and drive new research directions, and have a commitment to high research quality. A strong sense of shared responsibility and shared reward is required.

Requirements

Doctoral degree in computer science, electrical and computer engineering, or Master's degree with minimum (5) years industry experience developing computer vision and machine learning applications.
Strong understanding and experience in building effective learning systems (data collection, training, evaluation, and making iterative improvements).
Strong publication track record in conferences like CVPR, ICCV, MICCAI, etc.
Strong hands-on experience with at least one of the mainstream deep learning frameworks such as TensorFlow or PyTorch.
Strong hands-on experience with Python (proficiency), C/C++ (proficiency), shell scripting
Strong engineering practices, debugging/profiling skills, familiarity with multi-threaded programming.
Strong hands-on experience with GPU accelerated algorithms and implementations.
Strong hands-on experience with state-of-the-art AI models, and generative vision models.
Excellent communication skills both written and verbal.
Interested in early phases of product exploration and iteration based on incomplete requirements.
Solid understanding of computer vision, machine learning, diffusion, and deep learning.
Self-starter and able to work in a collaborative and results-oriented environment.
Ability to travel domestically and internationally (5-15%)
Able to view live and recorded surgical procedures.

Nice To Haves

Experience with visualization tools is a plus.

Responsibilities

Lead research, design, and implementation of AI algorithms for computer vision (image and video analysis), multi-modal data and generative systems.
Contribute to surgical AI using methods in synthetic data generation, generative modelling, world/diffusion models, etc.
Lead development of effective techniques and infrastructure, from the initial idea to the running prototype and product.
Contribute to research projects that develop a variety of algorithms and systems in computer vision, robotics, and multi-modal data fusion.
Advance the state-of-the-art in the field, including generating patents and publications.
Develop validation methods and evaluation metrics to show scalability to large clinical datasets.
Contribute to building new clinical datasets and data pipelines.
Participate in integration of new ML/CV algorithms into existing and future robotic platforms.
Collaborate with users and clinical advisors to iterate prototype designs based on feedback and performance.
Develop new technologies and digital products to improve surgeon and team performance on robotic surgery platforms.
Support academic collaborations in related fields.