Principal/Senior ML scientist
Pfäffikon
Full-time
Permanent employee
About Liom
LIOM is a Swiss deep-tech company building the ultimate health wearable for conscious living – a continuous, needle-free window into your body's chemistry, starting with glucose. Through this, we empower users to make informed lifestyle choices and live healthier and longer lives. Developed in Switzerland over 8+ years by 50+ scientists, validated across 130+ subjects, and protected by 23 patent families.
Your mission
As a Principal/Senior ML Scientist, you will research and collaboratively build computational solutions to real-world problems in our domain: a continuous non-invasive multi-biomarker monitoring smartwatch. Your work involves acquiring and smartly combining deep multi-disciplinary knowledge (biophotonics, biomedical, microfluidics, electronics, and manufacturing).
Your profile
- Master's / PhD degree in Computer Science, Informatics, Statistics, Applied Mathematics, Electrical Engineering, Operations Research, Biomedical Engineering, 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 computational software working with at least one compiled and one interpreted language such as Python, Julia, Java, or C++
- 3+ years of experience in ML frameworks (e.g. Pytorch, Tensorflow, Jax), custom model development, and stochastic optimization
- 3+ years of experience in industry or applied environment
- Thorough understanding of the linear algebra, probability theory, and calculus underlying machine learning methodology
- The following qualifications are a plus:
- Experience with transformer architectures, self-supervised learning, and foundation models
- Experience with training and optimizing machine learning models for time series data (e.g. health signals, audio, video)
- Experience in analyzing -omics data
- Experience in optics or photonics
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.
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:
- Introduction video call
- Technical Interview
- On-site interview