Senior embedded AI engineer (80-100%, m/f/d)
Pfäffikon
Liom
Pioneering in non-invasive glucose monitoring technology, seamlessly integrated with health metrics for a revolutionary wearable experience.About Liom
Liom is a Swiss health-tech startup dedicated to revolutionizing the field of personalized health monitoring. Our objective is to develop the first health wearable monitoring glucose non-invasively. We will launch our wearable as a consumer product in the EU in H1’2027, and then as a medically cleared product in the US. Our team consists of over 80 staff, including more than 50 PhDs, with deep expertise in entrepreneurship, product development, and the required engineering as well as scientific disciplines. We are operating out of our lab facilities in Pfäffikon SZ, Switzerland, and our office in San Francisco, United States.
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
- Overall 6-8 years of work experience
- First team management experiences
We offer
Work/Life BalanceWorking 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 when it comes to presence in the office ensuring the right balance between impact at work and your private 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 values 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.
Our recruitment process
The interview process consists of three stages:
- Introduction video call
- Technical Interview
- On-site interview
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Engineering Machine Learning ML models ONNX Python PyTorch TensorFlow
Perks/benefits: Career development Health care Startup environment
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