Machine Learning Intern

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 Senior Manager, Computer Vision & Machine Learning Algorithm Software, and main responsibility will be to implement state-of-the-art deep learning algorithms.

Essential Job Duties

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

• Participate, lead, and collaborate in the design and development of solution for state-of-the-art deep learning algorithms.

• Play a central role in prototyping innovative algorithms in the computer vision space.

• 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

Required Skills and Experience

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.

Required Education and Training

• Current enrollment in a Computer Science, Computer Engineering, Electrical & Computer Engineering, or related degree-seeking program at the Master’s or Doctorate level.

• Bachelor’s level students would also be considered based on specific relevant experience.

• Proven experience as a Machine Learning Engineer or similar role

• Understanding of data structures, data modeling and software architecture

• Deep knowledge of math, probability, statistics and algorithms

• Ability to write robust code in Python

• Familiarity with machine learning frameworks such as PyTorch and libraries

• Excellent communication (both oral and written) and collaboration skills to work effectively within a team structure

• Excellent software architecture and design skills

• Outstanding analytical and problem-solving skills

Preferred Skills and Experience

• Experience with vision foundation models

• Experience with optimizing models for ML performance

Additional Information

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.

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.