Machine Learning Intern

Intuitive•Sunnyvale, CA

18h

About The Position

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.

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.
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

Nice To Haves

Experience with vision foundation models
Experience with optimizing models for ML performance

Responsibilities

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.
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