About the role#
Join the Early Innovation team for a 12-week R&D internship focused on AI engineering. You will support the development of future technologies in sports medicine. This is a full-time, paid position that includes a structured onboarding program.
What you'll do#
- 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.
What you'll need#
- Current college junior or senior in computer science, computer engineering, electrical engineering, biomedical engineering, data science, AI/ML, robotics, or a related field.
- Strong academic standing, with a GPA of 3.3 or higher preferred.
- Experience with Python through coursework or projects. Familiarity with PyTorch, TensorFlow, or OpenCV is a plus.
- Exposure to Git, software testing, debugging, technical documentation, or statistical methods.
- Previous internship, co-op, research, or project experience in a regulated industry is a plus.
- Strong problem-solving and communication skills, along with a sense of curiosity and the ability to work on a cross-functional team.
Location & details#
- Location: Andover, Massachusetts.
- Term: Summer 2027 (12 weeks, starting May 2027).
- Modality: Hybrid.
- Compensation: $27 - $32 per hour.
- Note: This position does not offer visa transfer or sponsorship.
About Smith+Nephew
Smith+Nephew is a medical technology company that designs and manufactures equipment for healthcare professionals. Founded in 1856, the firm focuses on orthopaedic reconstruction, sports medicine, and wound care. It operates as a public company with over 10,000 employees. The headquarters are located in Watford, Hertfordshire.
How to get in at Smith+Nephew
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