Cint
Senior Full-Stack Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
New Job?Nejo!
The AI Job Search Engine
CLClue
(Senior) ML Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building and maintaining science-based ML models from health data for women's health insights at a health tech platform. Research experience with health-related data and advanced quantitative degree required. 27+ days paid time off, Urban Sports Club membership, dedicated development budget.
Requirements
- Advanced degree in relevant quantitative field
- Scientific reasoning in ML model design
- Research experience with health-related data
- Experience applying ML in production
- Strong grounding in statistical methods
- Hands-on experience with ML Ops
- Experience with cloud-based infrastructure
- Clear communication of technical concepts
- Experience in regulated environments
- Deep scientific and applied ML experience
Tasks
- Design and maintain science-based machine learning models
- Apply scientific reasoning to model design and validation
- Build robust models using health-related data and biometric signals
- Translate research insights into production-ready ML systems
- Manage the end-to-end machine learning lifecycle
- Define and evolve reliable ML operational practices
- Ensure high-quality data inputs and evaluation pipelines
- Integrate health-specific models with other AI components
- Operate ML systems according to privacy and regulatory standards
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- ML Ops
- AWS
- Cloud-based infrastructure
Benefits
More Vacation Days
- 27+ days paid time off
Healthcare & Fitness
- Urban Sports Club membership
Learning & Development
- Professional and personal development
Additional Allowances
- Dedicated development budget
Modern Office
- Vibrant Berlin office
Flexible Working
- Hybrid work model
- Flexible work from home
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Clue and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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CLClue
(Senior) ML Engineer(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Building and maintaining science-based ML models from health data for women's health insights at a health tech platform. Research experience with health-related data and advanced quantitative degree required. 27+ days paid time off, Urban Sports Club membership, dedicated development budget.
Requirements
- Advanced degree in relevant quantitative field
- Scientific reasoning in ML model design
- Research experience with health-related data
- Experience applying ML in production
- Strong grounding in statistical methods
- Hands-on experience with ML Ops
- Experience with cloud-based infrastructure
- Clear communication of technical concepts
- Experience in regulated environments
- Deep scientific and applied ML experience
Tasks
- Design and maintain science-based machine learning models
- Apply scientific reasoning to model design and validation
- Build robust models using health-related data and biometric signals
- Translate research insights into production-ready ML systems
- Manage the end-to-end machine learning lifecycle
- Define and evolve reliable ML operational practices
- Ensure high-quality data inputs and evaluation pipelines
- Integrate health-specific models with other AI components
- Operate ML systems according to privacy and regulatory standards
Work Experience
- approx. 4 - 6 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- ML Ops
- AWS
- Cloud-based infrastructure
Benefits
More Vacation Days
- 27+ days paid time off
Healthcare & Fitness
- Urban Sports Club membership
Learning & Development
- Professional and personal development
Additional Allowances
- Dedicated development budget
Modern Office
- Vibrant Berlin office
Flexible Working
- Hybrid work model
- Flexible work from home
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Clue and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Clue
Industry
Science
Description
The company empowers women and people with cycles to make informed decisions about their health.
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