Published: 11 May 2024
Pfäffikon SZ
100%
Unlimited employment
Spiden AG
Job ads found online
Qualifications
Work/Life Balance
Working at a growing MedTech 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 in working hours and encourage you to find your own balance between your work and personal life.
Values and Mission are important at Spiden, as the ultimate goal is to improve people's well-being and we aspire to live that. We will have the chance to discuss value and mission during the interview process.
Diversity
With 18 nationalities in the company, we strive to build a diverse and exciting environment. Within the SMLE team we take special care of gender diversity - currently balanced at 50/50 among the permanent employees- 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. We want you to grow with Spiden.
Amazing team!
In this role, you will be part of the Machine Learning Research & Engineering team , currently composed by 20 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. Additionally, you will be working closely with all RnD teams, including Biomedical Science, Biochemistry, Biophotonics, and Electrical Engineering.
Don't forget to check the team page on our website!
What could you build on top of real-time and non-invasive Glucose monitoring? That is what Spiden is all about, and we want to beat Apple at it: https://t.ly/krj7d
Machine learning, personalized health, and predictive medicine. If these areas resonate with you, join us to work on foundational technologic and scientific challenges at Spiden. 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, Spiden 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, 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: https://t.ly/vmCKi
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 60 permanent employees provides you great opportunities for growth in responsibilities and impact.
Responsibilities
As a Sr. Machine Learning Engineer you will build ML Engineering infrastructure needed to deploy a portfolio of ML models and algorithms on our smartwatch and companion mobile Apps. To be effective in this role, you need to effectively interface with Science (ML Scientists, Data Scientists), Product Development (Electrical Engineering, Photonics, Manufacturing) and Product Management, to acquire and smartly embed multi-disciplinary knowledge into our ML Infrastructure.
You will be joining the Machine Learning Research & Engineering team, currently composed by 20 awesome colleagues. You will be working hand-in-hand with an A-team of 3 Software Engineering leaders, coming from the domains of Data, Cloud and App/Web development with a combined 40YOE in tech, plus an amazing and enthusiastic crew of junior engineers.
The interview process consists of 3 stages: