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Principal/Senior ML scientist(m/w/x)
Developing non-invasive glucose monitoring wearables with smartwatch technology. 5+ years software development and 3+ years ML framework experience required. Flexible office presence, mentorship, and career growth.
Requirements
- Master's/PhD in CS, Informatics, Statistics, Applied Math, EE, OR, BME, or equivalent algorithm development experience
- Capacity to digest scientific literature effectively, including cross-disciplinary domains
- High attention to detail and ability to manage competing priorities in dynamic/ambiguous environments
- 5+ years experience writing computational software with compiled/interpreted languages (Python, Julia, Java, C++)
- 3+ years experience in ML frameworks (Pytorch, Tensorflow, Jax), custom model development, and stochastic optimization
- 3+ years experience in industry or applied environment
- Thorough understanding of linear algebra, probability theory, and calculus underlying ML methodology
- Experience with transformer architectures, self-supervised learning, and foundation models
- Experience training/optimizing ML models for time series data (health signals, audio, video)
- Experience analyzing -omics data
- Experience in optics or photonics
- Experience analyzing -omics data
Tasks
- Research and build computational solutions
- Address real-world problems with smartwatch technology
- Acquire and combine deep multi-disciplinary knowledge
- Collaborate with experts in biophotonics, biomedical, microfluidics, electronics, and manufacturing
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Julia
- Java
- C++
- Pytorch
- Tensorflow
- Jax
Benefits
Flexible Working
- Work-life balance
- Office presence flexibility
Other Benefits
- Diversity and equal opportunities
Mentorship & Coaching
- Mentorship
Career Advancement
- Career growth
Learning & Development
- Knowledge sharing
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Principal/Senior ML scientist(m/w/x)
Developing non-invasive glucose monitoring wearables with smartwatch technology. 5+ years software development and 3+ years ML framework experience required. Flexible office presence, mentorship, and career growth.
Requirements
- Master's/PhD in CS, Informatics, Statistics, Applied Math, EE, OR, BME, or equivalent algorithm development experience
- Capacity to digest scientific literature effectively, including cross-disciplinary domains
- High attention to detail and ability to manage competing priorities in dynamic/ambiguous environments
- 5+ years experience writing computational software with compiled/interpreted languages (Python, Julia, Java, C++)
- 3+ years experience in ML frameworks (Pytorch, Tensorflow, Jax), custom model development, and stochastic optimization
- 3+ years experience in industry or applied environment
- Thorough understanding of linear algebra, probability theory, and calculus underlying ML methodology
- Experience with transformer architectures, self-supervised learning, and foundation models
- Experience training/optimizing ML models for time series data (health signals, audio, video)
- Experience analyzing -omics data
- Experience in optics or photonics
- Experience analyzing -omics data
Tasks
- Research and build computational solutions
- Address real-world problems with smartwatch technology
- Acquire and combine deep multi-disciplinary knowledge
- Collaborate with experts in biophotonics, biomedical, microfluidics, electronics, and manufacturing
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Julia
- Java
- C++
- Pytorch
- Tensorflow
- Jax
Benefits
Flexible Working
- Work-life balance
- Office presence flexibility
Other Benefits
- Diversity and equal opportunities
Mentorship & Coaching
- Mentorship
Career Advancement
- Career growth
Learning & Development
- Knowledge sharing
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Liom
Industry
Healthcare
Description
Liom is a Swiss health-tech startup dedicated to revolutionizing personalized health monitoring through non-invasive glucose monitoring wearables.
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