IT/Tech

Internship in AI/ML Software Development for Sports Medicine – October 2025, 6 months

Work flexibility: OnsiteReq ID: R528353 Employee type:
  • Intern
  • Full Time
Job category: Engineering Travel:Relocation: No

Looking for a place that values your unique talents? Discover Stryker's award-winning culture.

We are proud to offer you our total rewards package which includes bonuses, healthcare, insurance benefits, retirementprograms, wellness programs, as well as service and performance awards – not to mention various social and recreationalactivities, all of which are location specific.

Job description

The Stryker Sports Medicine team in Freiburg develops patient-specific solutions to support clinical decision-making for indications that can be treated with minimally invasive joint surgery.

As an intern in the team, you will contribute to the advancement of the Sports Medicine patient-specific solution offering. You will investigate and implement novel analysis methods,as well as evaluate the results.

Ouroffertoyou

  • As a valued member of our international Sports Medicine R&D team you support the advancement of image-based enabling technologies.

  • Working with medical image data, you will extend your proficiencyin AI/ML by applying computer vision and deep learning techniques to develop innovative solutions that can be used in pre-operative analysis and planning.

  • You will be involved in all aspects of AI/ML algorithm development including data preparation and labeling.

  • You will enhance your programming skills by developing software according to coding guidelines and under the guidance of experienced software developers.

This is what makes you stand out

  • Academic Pursuit:You are currently enrolled in a master’s program forbiomedical engineering or a related engineering degreewith strong experience in machine learning. Students fromcomputer science, software engineering or a similar degree with medical imaging experience will also be considered.

  • Technical Drive: You are passionate about improving your technical expertise, especially in areas like AI/ML and software development.

  • Software Savvy: Ideally, you are proficient in Python development and have initial experience with deep learning and frameworks such as Tensorflowor PyTorchand/or computer vision libraries (e.g.OpenCV), enabling you to work independently.

  • Effective Communication: Your strong spoken and written English skills empower you to confidently engage in our international environment and successfully document your work in scientific English.