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Principal​/Senior ML scientist

Job in Zürich, 8081, Zurich, Kanton Zürich, Switzerland
Listing for: LIOM
Full Time position
Listed on 2026-08-22
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 140000 - 190000 CHF Yearly CHF 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: Zürich

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: W e 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.

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:

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Position Requirements
10+ Years work experience
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