AI Research Internship
2 weeks ago
At Intuitive, we are driven by a shared vision: to revolutionize healthcare through innovative technology. Our mission is to empower physicians to deliver life-enhancing care with minimal invasiveness.
We are a pioneer in robotic-assisted surgery, committed to fostering a diverse and inclusive team that shares our passion for making a difference. For over 25 years, we have collaborated with hospitals and care teams worldwide to tackle some of healthcare's most pressing challenges and push the boundaries of what is possible.
Our culture is built on the principles of diversity, equity, and inclusion. We believe that great ideas can come from anywhere and strive to create an environment where everyone can thrive. Our team members are grounded in integrity, have a strong capacity to learn, and bring diverse perspectives to help us think creatively.
We invest in our team members' growth and development, empowering them to advance our mission and achieve their full potential. Join us in advancing the world of minimally invasive care and making a meaningful impact on the lives of healthcare professionals and patients.
Job DescriptionPrimary Function of PositionWe are seeking a highly motivated intern to join our AI Research and Development team in projects focused on developing AI agents for various applications leveraging AI foundation models and system integration tools and software.
This role offers 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 develop LLM/AI agents that generate effective and efficient responses to medical robotics knowledge and reasoning tasks.
- 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 assess accuracy, efficiency, and generalizability.
- Work with existing datasets and contribute to efforts in creating new datasets.
Required Skills and Experience:
- Current enrollment in a Computer Science, Electrical Engineering, or Robotics program with an emphasis on AI, machine learning, language modeling, representation learning, or related degree-seeking program at the Master's or Doctoral level.
- Availability to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June.
Preferred Skills and Experience:
- Publications in top-tier conferences/journals.
- Experience building systems based on machine learning and/or deep learning methods.
- Proven hands-on Python skills.
- Proven hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Caffe.
- Good hands-on experience with state-of-the-art deep learning models for language modeling and text retrieval of structured and unstructured text.
- Good hands-on experience with open-source LLM models and libraries (HuggingFace, LLaMa, LangChain, LlamaIndex, etc).
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