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ML Engineering Intern jobs in United States
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Intuitive · 21 hours ago

ML Engineering Intern

Intuitive is a global leader in robotic-assisted surgery and minimally invasive care, dedicated to transforming healthcare through innovative technologies. The company is seeking a Machine Learning Engineering Intern to join their machine learning and data science team, focusing on developing new technologies for surgical workflow and performance in robotic surgery platforms.
Health CareManufacturingMedical Device
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Working closely with Machine Learning and Data/Software Engineering teams to develop efficient processes for model development/deployment for various applications
Developing automated workflows and tools to curate datasets and facilitate training of deep learning models
Integrating machine learning into digital products and services by working cross-functionally across engineering, data science, and machine learning teams

Qualification

Machine LearningMLOpsPythonSQLML frameworksCloud computingGitInterest in surgical AICommunication skillsTeam collaboration

Required

Must be currently enrolled in and returning to an accredited degree-seeking academic program after the internship
Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June
Current enrollment in an Computer Science, Computer Engineering, Electrical & Computer Engineering, or related degree-seeking program at the Master's, or Doctorate level
Excellent communication skills both written and verbal
A desire to work in a high-energy, focused, small-team environment with a sense of shared responsibility and shared reward
Interest in early research and development through to product roll-out in the fields of surgical AI and surgical robotics
Hands-on experience with ML frameworks, such as PyTorch, Tensorflow, or similar
Knowledgeable about MLOps platforms and/or ML CI/CD workflows to manage datasets and model training, deployment, and monitoring
Experience with MLOps tools like MLFlow, KubeFlow, W&B, etc
Knowledgeable on cloud compute environments such as AWS, GCP, etc
Experience with Python and SQL
Experience with Git e.g github, gitlab, bitbucket, etc

Preferred

Knowledgeable in launching ML models into production
Experience supporting large multi-modality dataset including image/video
Experience in developing ML applications within healthcare

Benefits

Market-competitive compensation packages
Base pay (paid at an hourly rate)
Benefits
Housing allowance

Company

Intuitive

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Intuitive designs and manufactures robotic-assisted surgical systems.

H1B Sponsorship

Intuitive has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (339)
2024 (238)
2023 (181)
2022 (285)
2021 (145)
2020 (138)

Funding

Current Stage
Public Company
Total Funding
$5M
Key Investors
St. Cloud Capital
2003-04-30Post Ipo Equity
2000-06-23IPO
1996-01-01Seed· $5M

Leadership Team

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Gillian Duncan
Senior Vice President, Professional Education & Program Services - Worldwide
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Myriam Curet
Executive Vice President & Chief Medical Officer
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Company data provided by crunchbase