Senior Computer Vision & Machine Learning Engineer (Medical Imaging)

Company Description

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and leading company in the field of robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare’s hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere—we strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture—our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real-world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. 

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let’s advance the world of minimally invasive care.

Job Description

Primary Function of Position

The Machine Learning Engineer is an integral part of the Aubonne engineering group and will work on developing products that help us invent the future of imaging-based intelligent robotic surgery. This position is primarily responsible for developing clinically relevant novel medical imaging methods for the da Vinci® platform and for preclinical test systems. The role includes data collection, modelling, development of algorithms and pipelines for new imaging modes, ML training and inference.

Roles and Responsibilities

• Understand clinical problems that can be solved by advanced and emerging imaging modalities and ML
• Develop and optimize advanced image analysis, computer vision, and machine learning algorithms and real-time image-processing pipelines for endoscopic and ex-vivo imaging systems
• Analyze data acquired with novel imaging systems
• Develop system concepts, which meet complex requirements
• Collaborate, coordinate, mentor, and lead engineers in a multidisciplinary team to develop product-ready computer vision and machine-learning solutions while meeting technical requirements and schedules
• Independently solve complex problems and share solutions
• Communicate results regularly to cross-functional audiences

Qualifications

Required Knowledge, Skills, and Experience

• MSc or Ph.D. in Biomedical/Electrical/Computer Engineering, Computer Science, or another STEM field with an emphasis on medical image analysis and machine learning
• At least six years of experience in a similar role
• Proficiency in Python, computer vision and machine learning frameworks, and CUDA for development of real-time image-processing pipelines, computer vision, and machine-learning solutions
• Experience with hyperspectral and/or fluorescence imaging systems, including data analysis, algorithm development, and image processing
• Experience in defining metrics and datasets, performing error analysis, and training machine learning models
• Fluency in English, both spoken and written
• Highly innovative with a demonstrated track record of solving complex technical challenges in medical imaging using computer vision and machine learning
• Demonstrated success in pursuing a line of inquiry, exploring, presenting and evaluating various options, and successfully implementing solutions

Preferred Knowledge, Skills, and Experience

• Experience with bringing machine learning and computer vision solutions from research and prototyping to production
• Experience with multimodal medical image registration
• Experience in C++
• Experience in 3D graphics, 3D modeling, 3D reconstruction, Raman spectroscopy or histopathology image analysis, or other advanced medical imaging techniques

#LI-hybrid 

Additional Information

Intuitive is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

U.S. Export Controls Disclaimer:  In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees
who are nationals from countries currently on embargo or sanctions status.

Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).  

For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s
start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. 

This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidate’s experience, knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidate’s qualifications, consistent with applicable law.