ML algorithm engineer (80-100%, m/f/d)

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

• Develop a system model for a health wearable
• Build and optimize ML/AI algorithms for a health wearable (examples)
• Optimize the system for performance given a strict resource budget

Your profile

• Experience with training and optimizing machine learning models for time series data (health signals, audio, video)
• Experience in machine learning frameworks and inference formats (Pytorch, Tensorflow, TFLite, ONNX)
• Experience with System modeling and system analysis (Matlab Simulink, etc.)
• Experience in wearables and health related algorithms
• Experience in System modelling tools (Matlab Simulink).
• Experience with digital signal processing and controls

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.

Our recruitment process

The interview process consists of three stages:

1. Introduction video call
2. Technical Interview
3. On-site interview

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!