AI Research Intern
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About this role
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
We are seeking a self-motivated intern to support our AI Research and Development team in projects focused on developing a variety of AI foundation models based on multi-modal surgical data. This role is an exciting opportunity to join a newly formed team, advance the state-of-the-art in surgical robotics, and test your knowledge in a challenging problem-solving environment.
Essential Job Duties
- Research, design and implement AI algorithms using multi-modal data including image, video, text, and robotics.
- Develop software and methods for training, evaluation and testing such AI algorithms.
- Develop evaluation metrics in the context of specific applications and perform extensive validation experiments to analyze accuracy, efficiency, and generalizability.
- Work with existing datasets and contribute to efforts in creating new datasets.