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.
Job DescriptionPrimary 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.
Essential Job Duties
- 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 shared during the recruiting process.
- Internship will be remote/hybrid with opportunity for on-site meetings at a minimum of 3 times during the course of the internship.
Required Education and Training
- Current enrollment in a Computer Science, Data Science, Computer Engineering, or related degree-seeking program at the Bachelor’s or Master’s level.
Working Conditions
- None
Preferred Skills and Experience
- Experience with LLM APIs (OpenAI, Anthropic, Azure OpenAI, or similar), including prompt engineering and structured outputs.
- Experience with Agentic AI workflows.
- Experience with building ETL/data ingestion pipelines for Snowflake.
- Experience with NLP techniques such as vector embeddings and semantic similarity.
- Familiarity with R is a plus.
- Experience with scikit-learn is a plus.
- Familiarity with statistical methods, systematic literature reviews, and meta-analysis is a plus.
Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.
Intuitive is an Equal 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.
Mandatory Notices
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.
We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.
Accommodation & Accessibility Notice:
Intuitive is committed to providing reasonable accommodations to qualified individuals with disabilities. If you require assistance or an accommodation during any part of the application or interview process, please contact People Services at [email protected].
We provide market-competitive compensation packages, inclusive of base pay (paid at an hourly rate), benefits, and a housing allowance. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including relevant skills and experience for this internship, degree-seeking academic program (PhD, Master’s, Bachelor’s, etc), year in school, and location. The hourly rate is prorated against the intern program salaries listed and total program compensation will be based on internship duration.
Skills Required
- Current enrollment in and return to an accredited degree-seeking academic program after the internship
- Availability to work full-time, approximately 40 hours per week, for a 10-12 week period starting in May or June
- Current bachelor's or master's enrollment in Computer Science, Data Science, Computer Engineering, or a related program
- Proficiency with Python
- Strong understanding of relational databases and SQL
- Solid grasp of machine learning concepts and algorithms
- Understanding of systems thinking and system design principles
- Ability to collaborate effectively with cross-functional teams and multiple stakeholders
- Strong communication and technical skills
- Self-driven problem-solving ability with minimal supervision
- Experience with LLM APIs, prompt engineering, and structured outputs
- Experience with agentic AI workflows
- Experience building ETL or data ingestion pipelines for Snowflake
- Experience with NLP techniques, vector embeddings, and semantic similarity
- Familiarity with R
- Experience with scikit-learn
- Familiarity with statistical methods, systematic literature reviews, and meta-analysis
Intuitive Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intuitive and has not been reviewed or approved by Intuitive.
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Healthcare Strength — Healthcare coverage appears broad and modern, including medical/dental/vision, telehealth, second-opinion services, fertility support, and condition-specific programs. Mental health support is positioned as strong, including access to free counseling sessions and a dedicated counseling service.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle offerings extend beyond core insurance, with initiatives such as vaccination clinics, fitness memberships, stress-reduction programs, and employee assistance programs. Additional lifestyle perks include curated discounts, pet insurance, identity theft prevention, and paid volunteer time.
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Flexible Benefits — Flexibility is supported through flexible work schedules and telecommuting options that can help with work-life integration. Benefit availability is described as variable by country, campus, and role, implying a menu that changes by eligibility and location.
Intuitive Insights
What We Do
Intuitive (Nasdaq: ISRG), headquartered in Sunnyvale, Calif., is a global technology leader in minimally invasive care and the pioneer of robotic-assisted surgery. At Intuitive, 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. Intuitive brings more than two decades of leadership in robotic-assisted surgical technology and solutions to its offerings, and develops, manufactures, and markets the da Vinci surgical system and the Ion endoluminal system.
Why Work With Us
We bring together the thinkers and doers; those who pursue excellence and are energized by discovering ways to do what can’t yet be done. We question, we test, we challenge each other and the status quo until we see the impact we’ve made, until we’ve set a new standard for minimally invasive care. We revel momentarily in our achievements before sta
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