What could you build on top of real-time and non-invasive Glucose monitoring? That is what Liom is all about, and we want to beat Apple at it.
 
Machine learning, personalized health, and predictive medicine. If these areas resonate with you, join us to work on foundational technologic and scientific challenges at Liom. We are 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, Liom is building a cutting-edge biomedical data generation pipeline to train medical-grade Machine Learning algorithms to infer glucose transcutaneously from spectral measurements. To achieve our vision, our team and advisory board consist of world experts coming from top academic institutions (ETH, EPFL, Columbia, Princeton, MIT, Stanford, or Harvard among others) and industry leaders (Baxter, Roche, Lonza). We are looking for talented, experienced, voraciously curious, and self-driven professionals to join an A-team of doers: Liom Publishes Groundbreaking Calibration-Free Non-Invasive Glucose Monitoring Results in JDST

After 4+ years in R&D phase, we are sprinting towards product development phase to launch to market. Therefore, joining as one of the first 70 permanent employees provides you great opportunities for growth in responsibilities and impact.

Responsibilities
As a Sr. Algorithm Engineer / Sr. ML Scientist, you will research and collaboratively build computational solutions to real-world problems in our domain: a continuous non-invasive glucose monitoring smartwatch. Your work involves acquiring and smartly combining deep multi-disciplinary knowledge (biophotonics, biomedical, microfluidics, electronics, and manufacturing).

• Master's / PhD degree in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, a related technical field, or equivalent algorithm development experience.
• Demonstrable capacity to digest scientific literature effectively, including cross-disciplinary domains.
• High attention to detail and proven ability to manage multiple, competing priorities, being comfortable in a dynamic and sometimes ambiguous environment.
• 5+ years of experience in writing software working with at least one compiled and one interpreted language such as Python, Matlab, or C++
• 3+ years of experience in ML frameworks (e.g. Pytorch, Tensorflow)
• 3+ years of experience in industry or applied environment
• The following qualifications are a plus:
  • Experience with Machine Learning at the Edge (optimization, HW accelerators, GPU, distributed computing) 
  • Experience with training and optimizing machine learning models for time series data (e.g. health signals, audio, video)
  • Experience in the healthcare or pharma industry
  • Experience with System modeling and system analysis

IMPORTANT: we cannot sponsor work permits for non-EU / EFTA nationals for this role. Applications that do not fulfill this criteria will be automatically rejected.

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 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:

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