AI​/ML Engineer Intern

• Ways of Working:
  Set Schedule - This job will be onsite weekly, the percentage of onsite work will be defined by the leader.
• Employee Type:
  Intern (Fixed Term)
• Min. Salary Region 1: 0 USD
• Global Job Level (HCM):
  Professional 1 (5)
• Min. Salary Region 2: 0 USD

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive
. As a global leader in robotic-assisted surgery and minimally invasive care
, our technologies - like the da Vinci surgical system and Ion - have transformed how care is delivered for millions of patients worldwide.

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful - because every improvement we make has the potential to change a life.

If you're ready to contribute to something bigger than yourself and help transform the future of healthcare
, you'll find your purpose here.

Primary Function of Position

The Global Access, Value and Economics (GAVE) organization at Intuitive is seeking a highly motivated, hard-working, and professional AI/ML Engineer Intern to join our team for Summer 2027. The AI/ML Engineer Intern will support GAVE's mission of generating clinical evidence to drive the adoption of robotic-assisted surgery. They will work within the Global Access and Evidence Management Center of Excellence to develop a system to optimize evidence management and synthesis processes.

They will design a tool to identify, deduplicate, validate, and ingest new publications related to Intuitive products. They will also work with the team to integrate existing large language model (LLM) pipelines into this solution. The intern will get hands-on experience with software development, data management, machine learning, and systems design thinking. Beyond technical skills, this internship will require effective communication with numerous cross-functional stakeholders.

• Design an end-to-end data pipeline to optimize critical evidence management, synthesis, and generation processes.
• Implement and automate publication search and deduplication strategies.
• Assist in integrating additional large language model (LLM) workflows into this system.
• Collaborate with cross-functional stakeholders to develop the solution.
• Present and interpret findings to a broad range of teams across the organization.

Required Skills and Experience

• Self-motivated individual with a strong interest in data science and machine learning.
• Proven ability to collaborate effectively with cross-functional teams and address the needs of multiple stakeholders.
• Excellent mix of communication and technical skills to engage effectively across all audiences.
• Self-driven problem solver who can work with minimal supervision.
• Strong desire to learn and grow in the field of data science and machine learning.
• Proficiency with Python programming language.
• Strong understanding of relational databases and SQL.
• Solid grasp of machine learning concepts and algorithms.
• Understanding of systems thinking and system design principles.

University Hiring Program Eligibility Requirements:

• University Enrollment:
  Must be currently enrolled in and returning to an accredited degree-seeking academic program after the internship.
• 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…