Ml Research Scientist
vor 2 Wochen
Your mission:
Machine learning, personalized health, and predictive medicine. If these areas resonate with you, join us to work on extremely motivating challenges at Spiden.
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 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 power our Machine Learning prediction algorithms.
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 ML Engineer to play a central role in building it with great opportunities for growth.
As a Machine Learning Engineer, you will design and develop ML products that involve large-scale data processing using an advanced ML technology stack.
You will lead architecture design and ML infrastructure.In this role, you will be part of the Machine Learning Engineering team working closely with all RnD teams, including Biomedical Science, Biochemistry, Biophotonics, and Electrical Engineering.
Responsibilities:
Our team of ML Research Scientists day-to-day job is to screen the scientific literature on the field of Continuous Health Biomarker monitoring and prototype state-of-the-art ML methods.
After 3 years in R&D phase, we are on track to achieve several critical research milestones and start building our product.
Here is where you come to play. We are looking for anexperienced ML Engineer to complement the team and
help us build what is required to power our first product to hit the market.
When we succeed, we plan to raise funding to accelerate development, industrialize our product and expand to critical markets. Therefore, joining as one of the first 50 employees provides you great opportunities for growth in responsibilities and impact.
Your profile:
Minimum Qualification:
- Master's degree in Computer Science, a related technical field, or equivalent ML experience.
- 7+ years of experience in writing software working with at least one compiled and one interpreted language such as C, C++, Go, Python, JavaScript, Java, or similar.
- 4+ years of
Machine Learning Experience:
ML algorithms and architectures, training models, hyperparameter tuning, feature engineering, distributed model training, hosting and deployment of models and ML pipelines using deep learning frameworks such as TensorFlow or PyTorch, etc.
Able to whiteboard common components of ML pipelines.- 2+ years of experience designing and deploying productiongrade system architectures for ML
- Experience with scientific analysis packages such as NumPy, SciPy, Pandas, Scikitlearn
- Experience in development using the Google Cloud Platform or another public cloud platform
- High attention to detail and proven ability to manage multiple, competing priorities, being comfortable in a dynamic and sometimes ambiguous environment.
Preferred qualifications:
- PhD degree in Computer Science, or equivalent experience in ML
- Strong experience in MLOPs: ML data management (collect, store, manage data), creating training datasets (data labeling, data augmentation, feature engineering, data partitioning, sampling and slicing), building platform for ML model training and development, model deployment (inference constraints, model compression, server and client side ML, evaluation), ML infrastructure monitoring and maintenance, familiarity with architectural choices for ML systems.
- Working under a matrixed organization involving crossfunctional, and/or crossbusiness projects.
- The following qualifications are a plus:
- Experience in the healthcare or pharma industry
- Handson experience building containerized DevOps and CI/CD pipelines, microservices and API development
- Experience with Machine Learning at the Edge (optimization, HW accelerators, GPU, distributed computing)
- Experience in Signal Processing
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 flexible 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.Mentorship & Career Growth:
Our team is dedicated to supporting new members. We have
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