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Principal/Senior ML scientist

Pfäffikon

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Education & alternatives
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.

Tools in this posting

  • Java
  • Julia
  • Python
  • PyTorch
  • TensorFlow
  • C++
Source — Tool mentions in context
- 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
- 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

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.

In the employer’s words · Read in context

Job description

View original posting ↗

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
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:

  • Introduction video call 
  • Technical Interview 
  • On-site interview
  • Your next step

    • Have your CV and examples of relevant work ready.
    • Check the listed location, eligibility and core experience before starting.
    • Ask the employer about the salary range before committing time to the process.

    Complete your application on liom.jobs.personio.com. The employer’s form will show what is required.

    Already applied? Track this application

    Source & posting history

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    Location & working pattern

    Pfäffikon

    - Technical Interview - On-site interview
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    Status in our records
    Active
    First seen by us
    Aug 11, 2026
    Recorded sightings
    17
    Last seen by us
    Sep 30, 2026

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