Founding Software and Deep Learning Engineer
Job in
Zürich, 8058, Zurich, Kanton Zürich, Switzerland
Listed on 2026-01-26
Listing for:
Klüvo
Full Time
position Listed on 2026-01-26
Job specializations:
-
IT/Tech
Computer Science, Machine Learning/ ML Engineer, AI Engineer, Data Engineer
Job Description & How to Apply Below
About The Role
You ll work with the Co-Founder/ CTO and other exceptional engineers. You will create groundbreaking products for digital dentistry.
Responsibilities- Writing human readable, high-performance, and maintainable code
- Taking ownership of and delivering features from start to finish
- Developing and customizing machine learning models
- Building the infrastructure needed to train and test machine learning models and computer vision algorithms
- Creating large datasets for training and testing purposes
- Optimising cloud processing pipelines and improving on device efficiency of computer vision models on CPU/GPU/NPU
- Playing a key role in cultivating our culture of technical excellence
- Must have very strong skills in a programming language. You love to code
- Must have done this before, or be willing to learn fast
- Must be driven and go above and beyond
- Must be prepared to challenge us and disagree. We are thinking and acting as a team
- Must be able to explain and communicate clearly
- Must be able to work autonomously
- Must want to work hard and learn something new every day
- You have a Bachelor or Master in Computer Science or a related field
- You are genuinely a nice and humble person, committed to improving the team
"It s supposed to be hard. If it wasn t hard, everyone would do it. The hard... is what makes it great."
Our tech stack- Backend:
Python, Github - Deep learning frameworks:
Py Torch - Frontend:
Swift, Objective-C++ - Cloud: AWS
- The opportunity to impact the outcome of the company
- Interesting and challenging work
- Exceptional team members
- Flexible working hours and minimal meeting culture
- Office in the heart of Zürich
- Cool team building activities
- A competitive salary and equity package
- You can’t work hard right now. The entire company is less than 10 people, and this will likely be the hardest job you ve ever had
- You’re not excited about deep learning
- You don t care about leveraging technology to positively impact healthcare
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