H4About Liom /h4pLiom 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 2028, and then as a medically cleared product in the US. Our team consists of over 30 staff members, including more than 20 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. /pbrh4Your mission /h4pWhat could you build on top of real-time and non-invasive glucose monitoring? That is what uLiom /u is all about, and we want to beat Apple at it.brbr no-style="border:0px solid;margin:0px;font-family:Inter, '-apple-system', 'system-ui', 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);"Machine learning, personalized health, predictive, and preventative medicine. If these areas resonate with you, join us to work on foundational technological and scientific challenges at Liom. We are a Swiss HealthTech venture with the vision to use state-of-the-art rich and miniaturized measurement techniques to continuously monitor and learn from a wide range of vital indicators, to prevent chronic diseases, to customize health lifestyles and, to generally improve your health.br no-style="border:0px solid;margin:0px;font-family:Inter, '-apple-system', 'system-ui', 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);"br no-style="border:0px solid;margin:0px;font-family:Inter, '-apple-system', 'system-ui', 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);"Using our revolutionary, miniaturized, and tested proprietary optical sensors, Liom is building a cutting-edge biomedical data generation pipeline to train medical-grade machine learning algorithms to infer glucose non-invasively and 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, and Harvard among others) and industry leaders (Baxter, Roche, Lonza). We are looking for team-oriented, talented, experienced, fearlessly curious, and self-driven professionals to join an A-team of doers: a no-style="border:0px solid;margin:0px;color:inherit;text-decoration:underline;font-family:Inter, '-apple-system', 'system-ui', 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);" target="_blank" Liom Publishes Groundbreaking Calibration-Free Non-Invasive Glucose Monitoring Results in JDST /a a no-style="border:0px solid;margin:0px;color:inherit;text-decoration:underline;font-family:Inter, '-apple-system', 'system-ui', 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);" br no-style="border:0px solid;margin:0px;" /abr no-style="border:0px solid;margin:0px;font-family:Inter, '-apple-system', 'system-ui', 'Segoe UI', Roboto, 'Helvetica Neue', 'Open Sans', 'system-ui', '-apple-system', 'Segoe UI', Roboto, Ubuntu, Cantarell, 'Noto Sans', sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji';font-size:14px;font-style:normal;font-weight:400;text-transform:none;background-color:rgb(255,255,255);"After 5+ years in RD 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.brstrongResponsibilities /strongbrAs 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). /ph4Your profile /h4pulliMaster's / PhD degree in Computer Science, Informatics, Statistics, Applied Mathematics, Electrical Engineering, Operations Research, Biomedical Engineering, related technical field, or equivalent algorithm development experience. /liliDemonstrable capacity to digest scientific literature effectively, including cross-disciplinary domains. /liliHigh attention to detail and proven ability to manage multiple, competing priorities, being comfortable in a dynamic and sometimes ambiguous environment. /lili5+ years of experience in writing computational software working with at least one compiled and one interpreted language such as Python, Julia, Java, or C++ /lili3+ years of experience in ML frameworks (e.g. Pytorch, Tensorflow, Jax), custom model development, and stochastic optimization /lili3+ years of experience in industry or applied environment /liliThorough understanding of the linear algebra, probability theory, and calculus underlying machine learning methodology /liliThe following qualifications are a plus:ulliExperience with transformer architectures, self-supervised learning, and foundation models /liliExperience with training and optimizing machine learning models for time series data (e.g. health signals, audio, video) /liliExperience in analyzing -omics data /liliExperience in optics or photonics /li /ul /li /ulemstrongIMPORTANT: /strong Wstronge cannot sponsor work permits for non-EU / EFTA nationals for this role. /strong Applications that do not fulfill this criteria will be automatically rejected. /em /ph4We offer /h4pstrongWork/Life Balance /strongbrWorking 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.br brstrongDiversity /strongbrWith 18 nationalities in the company, we strive to build a diverse and exciting environment. We care about diversity and equal opportunities.br brstrongMentorship Career Growth /strongbrOur 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.br brstrongAmazing team! /strongbrIn 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. /pbrh4Our recruitment process /h4pThe interview process consists of three stages:br no-style="border:0px solid;margin:0px;"br no-style="border:0px solid;margin:0px;"ol li Introduction video call /lili Technical Interview /lili On-site interview /li /ol /p