Du optimierst Machine-Learning-Algorithmen und arbeitest an der Implementierung von KI-Lösungen in Zusammenarbeit mit verschiedenen Teams.
Anforderungen
- •Degree in computer science
- •Degree in electrical engineering
- •Strong experience in embedded C/C++
- •Strong experience in Python programming
- •Strong experience with embedded neural networks
- •Knowledge of Tensorflow, Pytorch, TFLite, ONNX
- •Experience in ML model quantization
- •Experience in ML model pruning
- •Experience in low-rank factorization
- •Experience in knowledge distillation
- •Experience with low power ML applications
- •Knowledge of health algorithms
- •Knowledge of wearables is a plus
Deine Aufgaben
- •Leistung von Machine-Learning-Algorithmen optimieren
- •Plattform für produktionsreife Machine-Learning-Modelle aufbauen
- •Mit Firmware-Team AI-Algorithmen implementieren und bereitstellen
- •Mit ML-Forschern an Hardware-Leistungseinblicken zusammenarbeiten
Deine Vorteile
Work-Life Balance
Values and Mission
Diversity
Mentorship and Career Growth
Amazing Team
Original Beschreibung
## Senior embedded AI engineer (80-100%, m/f/d)
###### Permanent employee, Full-time ·Pfäffikon
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##### Your mission
- Optimize performance of machine learning algorithms for embedded devices in terms of complexity, memory, latency and power consumption in the context of health wearables
- Build a platform to release product grade machine learning models
- Collaborate with firmware team to implement and deploy AI algorithms on edge
- Collaborate with ML researcher to provide insights on target hardware performance
##### Your profile
- Degree in computer science, electrical engineering or a comparable qualification
- Strong experience in embedded C/C\+\+ and Python programming (5\+ years)
- Strong experience with embedded neural networks and their deployment frameworks (Tensorflow, Pytorch, TFLite, ONNX, ...), compilers, hardware accelerators and system simulations. (3\+ years)
- Experience efficient ML, for instance quantization, model pruning, low\-rank factorization, knowledge distillation. (3\+ years)
- Experience with low power ML applications
- Knowledge of health algorithms and wearables is a plus
##### We offer
**Work/Life Balance**
Working at a growing health\-tech 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 Liom, 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.
**Diversity**
With 18 nationalities in the company, we strive to build a diverse and exciting environment. We care about diversity and equal opportunities.
**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.
**Amazing team!**
In this role, you will composed by awesome colleagues from which you will have the opportunity to learn a lot professionally, but also enjoy great conversations and fresh and well informed points of view.
**We encourage you to apply even if you do not believe you meet every single qualification.**
*Not all strong candidates will meet every single requirement as listed. We know that underrepresented groups more often doubt the strength of their candidacy, but we urge you not to exclude yourself prematurely and to still submit an application if you're excited about this work and think your profile is overall a good fit! We believe that products like the ones we’re building will have an impact on a very broad set of people, and we strive to include a range of diverse perspectives on our team. We would love to hear from you!*