Lensa
AI

Machine Learning Engineer Intern

Lensa · Campbell, CA · $60k

Actively hiring Posted 4 months ago

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Imperative Care. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.Title: Machine Learning Engineer InternLocation: This position is based in our Campbell, California offices, on-site & full-time. Imperative Care does not provide relocation or additional housing compensation for the summer internship.Why Imperative Care?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.What You’ll DoAs 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.
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.

What You’ll Bring
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.

Employee Benefits include a stake in our collective success with stock options, competitive salaries, a 401k plan, health benefits, generous PTO, and a parental leave program.Join Us!Apply Now (https://imperativecare.applytojob.com/apply)Salary: $29/hourly for 10 week internshipThe use of external recruiters/staffing agencies requires prior approval from our Human Resources Department. The Human Resources Department at Imperative Care requests that external recruiters/staffing agencies not to contact Imperative Care employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with Imperative Care.Imperative Care will not accept unsolicited resumes from any source other than candidates themselves for either current or future positions. Submission of unsolicited resumes in advance of an agreement between the Human Resources Department and the external recruiter/staffing agency does not create any implied obligation on the part of Imperative Care.Powered by JazzHRIf you have questions about this posting, please contact [email protected]

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