Machine Learning Engineer Intern
About The Position
At Imperative Care we are developing novel robotic-assisted technologies and interventional capabilities that will forever change the disparate outcomes of ischemic stroke – a disease that impacts close to a million people a year in the U.S., and 10 million worldwide. Not only is Imperative Care changing the way stroke is treated, but also bringing this treatment to the greater population who is currently without. We are actively building a team who is focused on developing novel solutions for this complex disease – a disease in which one in four adults will face in their lifetime. As a Summer Intern, you will support the development of an AI-assisted system that analyzes and summarizes workflow and driving performance in robotic-assisted medical procedures. You will work with real-world procedural data from our Roboto platform to define key events, develop workflow metrics, and prototype automated, AI-generated case summaries.
Requirements
- Currently pursuing a degree in computer science, data science, biomedical engineering, robotics, or a related field.
- Experience or coursework in data analysis, machine learning, or applied AI concepts
- Familiarity with working on structured and unstructured data (e.g., logs, time-series data, images, or video).
- Strong analytical thinking skills and the ability to translate data into clear, actionable insights.
- Interest in medical devices, robotics, or healthcare applications of AI, with strong communication and documentation skills.
Responsibilities
- Analyze system logs, device data, and procedural video streams from robotic-assisted procedures to identify key events and milestones.
- Define and document workflow and performance metrics related to timing, frequency, and procedural efficiency across different phases.
- Support the creation of event-based data snapshots (e.g., images or short video clips) to add context to procedural analysis.
- Prototype AI-generated reports and case summaries that highlight workflow patterns, system usage, and opportunities for improvement.
- Collaborate with engineering, product, and clinical teams to validate insights and refine analysis outputs.
Benefits
- stock options
- competitive salaries
- a 401k plan
- health benefits
- generous PTO
- a parental leave program
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
Number of Employees
251-500 employees
