Intern AI Engineer R&D

Smith+Nephew•Andover, MA
•$27 - $32•Hybrid

About The Position

Join Smith+Nephew’s Early Innovation team for a three-month R&D internship focused on AI engineering to support future technologies in sports medicine. A structured onboarding program will help you get started. Based in Andover, Massachusetts, with some remote flexibility, you will help develop and evaluate AI, machine learning, and computer vision solutions for future medical technologies. You will contribute to the TESSA software ecosystem and early-stage R&D concepts while working with software, systems, algorithm, and cross-functional engineering teams. The program is 12 weeks, with a planned start date of May 2027. This requisition was established for candidates to express interest; the job opportunity is not currently available for hiring. The position does not offer visa transfer or sponsorship now or in the future.

Requirements

  • Be a current college junior or senior in computer science, computer engineering, electrical engineering, biomedical engineering, data science, AI/ML, robotics, or a related engineering field.
  • Coursework, projects, or experience using Python.
  • Curiosity, strong problem-solving and communication skills, and the ability to work on a cross-functional team.

Nice To Haves

  • A GPA of 3.3 or higher is preferred.
  • Previous internship, co-op, research, project, or regulated-industry experience.
  • Familiarity with PyTorch, TensorFlow, or OpenCV.
  • Exposure to Git, software testing, debugging, technical documentation, or statistical methods.

Responsibilities

  • Develop and test AI, machine learning, and computer vision algorithms for medical imaging, navigation, visualization, and data analysis.
  • Prototype and integrate software within the TESSA ecosystem.
  • Explore AI-enabled workflows, automation, analytics, and proof-of-concept solutions.
  • Analyze data, define performance metrics, and document methods and results.
  • Share findings, demonstrations, and recommendations with engineering teams and R&D leaders.

Benefits

  • Hands-on, team-customized training and mentorship.
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