Machine Learning Intern

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 market leader in 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:

Are you passionate about designing software solutions that enable novel user interfaces and user interactions? Do you have a passion for working on real-time video on embedded systems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible in surgical robotics today! Join our team of driven and dedicated software and computer vision engineers to develop real-time sensing and perception technologies that support novel human machine interfaces for next-generation robot-assisted surgery platforms. We balance research and product to deliver state-of-the-art experiences, innovating through the full stack, and collaborating across hardware and software teams to influence computer vision based deep learning algorithms roadmap that brings our vision to life.

The successful candidate must be able to apply domain expertise in a focused, small-team environment, and must have a solid knowledge of state-of-the-art deep learning techniques used for vision applications. A strong sense of shared responsibility and shared reward is required.

Intern will report to Manager, Computer Vision & Machine Learning Algorithm Software, and main responsibility will be to implement state-of-the-art eye camera algorithms using deep learning techniques.

Roles & Responsibilities:

As part of the User Interaction Algorithms team, immediate responsibilities include:

• Participate, lead, and collaborate in the design and development of solution for state-of-the-art user interfaces.
• Play a central role in prototyping innovative algorithms for video processing pipeline such as eye camera algorithms using deep learning techniques.
• Study and improve algorithm performance metrics that correlate with user experience, and that can be used to drive continuous improvement
• Perform feasibility analysis and validation; develop corresponding demos.

Additional responsibilities include:

• Study and improve algorithm performance metrics that correlate with user experience, and that can be used to drive continuous improvement
• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Focus on details that are meaningful to our customer
• Continuously explore optimal data coverage for various use cases

Qualifications

University Hiring Program Eligibility Requirements:

• University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall.
• Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.

Skills, Experience, Education, & Training:

• Current