Job Description
Your mission
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 on it:
https://www.handelsblatt.com/unternehmen/industrie/start-up-check-schweizer-start-up-spiden-will-apple-bei-blutzucker-technik-ueberholen/29293274.html
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 a talented, experienced, voraciously curious, and self-driven professional with great opportunities for growth.
https://www.handelsblatt.com/unternehmen/industrie/start-up-check-schweizer-start-up-spiden-will-apple-bei-blutzucker-technik-ueberholen/29293274.html
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 a talented, experienced, voraciously curious, and self-driven professional with great opportunities for growth.
Responsibilities
As a Machine Learning Research Scientist, among other topics you will work on:
As a Machine Learning Research Scientist, among other topics you will work on:
- Optimize and refactor existing ML-related code to enhance efficiency, readability, and maintainability.
- Collaborate with the Machine Learning and Engineering teams to design, develop, and implement machine learning models and solutions in production environments that involve cloud, device and smartphone computing.
- Utilize cloud-based ML platforms such as Sagemaker and VertexAI to streamline and scale ML workflows.
- Employ cutting-edge MLOps tools for monitoring and model management, as well as for Hyperparameter tuning
- Troubleshoot and resolve issues related to machine learning model performance, data pipelines, and deployment.
- A passion for staying at the forefront of the machine learning field and embracing the latest MLOps practices.
- A product mindset, understanding that the output of your work is consumed by internal and external users, therefore it is your responsibility to build data and ML products that excite them.
Your profile
We are looking for a talented Machine Learning Engineer with at least two years of experience, particularly in the tech sector. The ideal candidate is someone possessing cutting-edge Python knowledge, very proficient in translating code written by others (scientists in particular, therefore familiar with scientific python libraries) into production-like, thoroughly tested and efficient code, and be well-versed in the latest MLOps tools and practices, including monitoring and hyperparameter tuning. If you have experience with ML trainers in product-related environment, especially using PyTorch or TensorFlow, and are familiar with tools like Sagemaker or VertexAI, we want to hear from you.
- At least 2 years of experience in a Machine Learning Engineering role.
- Proficiency in Python, with a strong track record of writing clean and maintainable code.
- Docker expert and practical experience with Kubernetes for orchestration.
- Employ cutting-edge MLOps tools for monitoring and model management, as well as for Hyperparameter Tuning
- Familiarity with cloud-based MLOps platforms, such as Sagemaker and VertexAI.
- Familiarity with scientific python libraries e.g. scikit-learn, PyTorch, Tensorflow
We offer
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.
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.
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.
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 13 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.
In this role, you will be part of the Machine Learning Research & Engineering team, currently composed by 13 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!
Our recruitment process
The interview process consists of 3 stages:
- Introduction call (20 min - led by hiring manager - remote with video)
- Technical Interview (60-90min - led by engineers from the team - remote with video)
- On-site interview (90 - 120 min - Culture & Team fit, Lab tour, if role requires meet members from other teams - in person in our office and lab in Pfäffikon)
About us
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single requirement as listed. We know that underrepresented groups more often doubt the strength of their candidacy, but we urge you not to exclude yourself prematurely and to still submit an application if you're excited about this work and think your profile is overall a good fit!
We believe that products like the ones we’re building will have an impact on a very broad set of people, and we strive to include a range of diverse perspectives on our team. We would love to hear from you!
Not all strong candidates will meet every single requirement as listed. We know that underrepresented groups more often doubt the strength of their candidacy, but we urge you not to exclude yourself prematurely and to still submit an application if you're excited about this work and think your profile is overall a good fit!
We believe that products like the ones we’re building will have an impact on a very broad set of people, and we strive to include a range of diverse perspectives on our team. We would love to hear from you!
The company:
Spiden is 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 medical indicators, allowing to improve your individual health.
Spiden is 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 medical indicators, allowing to improve your individual health.
About Spiden AG
Our mission is to develop medical technologies that will improve the lives of millions of people by continuously monitoring health indicators and therefore support timely and individualized diagnostics. We use advanced spectral techniques and data analysis focusing on bodily fluids.