Internship - Machine Learning Research (100%)

Intern / Student, Full-time · Pfäffikon

Your mission
Machine learning, personalized health, and predictive medicine. If these areas resonate with you, join us to work on extremely motivating challenges at Spiden. Spiden is a Swiss MedTech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital indicators, to better manage chronic diseases, to customize critical treatments and, to improve your health.

Using proprietary optical sensors, Spiden is building a cutting-edge biomedical data generation pipeline to power our Machine Learning prediction algorithms.  To achieve our vision, our team and advisory board consist of world experts coming from top academic institutions (ETH, EPFL, Columbia, Princeton, or Harvard among others) and industry leaders (Baxter, Roche, Lonza). We are looking for a talented, self-driven and highly curious student or recent graduate ready for the challenge.    

As a Machine Learning Research Intern, under the support of experienced Senior ML scientists, you will research and prototype state-of-the-art ML models that involve large-scale data processing and crossdisciplinary exposure, from biomedical data to laser and optics. 

In this role, you will be part of the Machine Learning Engineering team working closely with all RnD teams, including Biomedical Science, Biochemistry, Biophotonics, and Electrical Engineering.

Your profile

Qualifications

  • Last year student or recently completed Master's degree in Computer Science, Physics, Math, Statistics or a related technical field with direct ML exposure.
  • Demonstrable experience (during studies or personal projects) in writing software on C, C++, Go, Python, JavaScript, Java, or similar.
  • High attention to detail and proven ability to manage multiple, competing priorities, being comfortable in a dynamic and sometimes ambiguous environment.
  • Excellent communication skills 
  • Certain experience with scientific analysis packages such as NumPy, SciPy, Pandas, Scikit-learn and/or ML frameworks such as Tensorflow or PyTorch would be a plus
  • Exposure (during studies or personal projects) to the Google Cloud Platform or another public cloud platform would be a plus     


Work/Life Balance

Working at a growing MedTech start-up is demanding and our goals are ambitious, which is why our team puts a strong emphasis on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. Therefore, we offer flexibility in working hours and encourage you to find your own balance between your work and personal life.

Values and Mission are important at Spiden, as the ultimate goal is to improve people's well-being and we aspire to live that. We will have the chance to discuss value and mission during the interview process.

Mentorship & Career Growth


Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We want you to grow with Spiden.


About us
Spiden is a Swiss medtech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital medical indicators, allowing to improve your individual health.
We are looking forward to hearing from you!
Thank you for your interest in Spiden AG. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to ​cs@spiden.com.

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