Intrinsic
Research Scientist, Deep Learning(m/w/x)
Full-timeOn-siteExperienced
Zürich
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ETEthon
Applied Research Scientist (Causal AI)(m/w/x)
Zürich
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Developing causal ML algorithms for Autonomous Process Control in manufacturing. Graph-based inference and deep learning implementation required. On-site work, phantom stock options.
Requirements
- Curiosity and eagerness to learn and grow
- Passion for cutting-edge tech and driving impact in manufacturing
- Solid Computer Science, Data Science, Math or Statistics foundations (degree or equivalent)
- Good software engineering skills
- Proficiency in Python
- Contribution to production code
- Hands-on experience with probabilistic modeling
- Hands-on experience with statistical inference
- Hands-on experience with causal reasoning
- Excellent communication skills in spoken and written English
- Strong motivation in dynamic, fast-paced environment
- Experience with time-series data from industrial or physical systems
- Familiarity with control systems and concepts
- Exposure to foundation models
- Exposure to deep learning for structured/tabular/time-series data
- Background in causal inference
- Experience with numerical optimization
- Experience with stochastic optimization
- Experience with process-oriented optimization
Tasks
- Develop and improve causal ML algorithms
- Handle categorical data and interaction effects
- Implement graph-based inference
- Build and validate algorithms for Autonomous Process Control
- Enhance analytics capabilities with advanced deep learning
- Transition prototypes to production deployments
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- probabilistic modeling
- statistical inference
- causal reasoning
- time-series data
- control systems
- foundation models
- deep learning
- causal inference
- optimization
Benefits
Competitive Pay
- Phantom stock options
Career Advancement
- Performance-based career paths
- Performance-based growth paths
Other Benefits
- On-site work
Modern Office
- Modern office
Flexible Working
- Flexible schedules
More Vacation Days
- Vacation bonus
Generous Parental Leave
- Flexible parental leave
Learning & Development
- Learning budget
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Ethon 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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ETEthon
Applied Research Scientist (Causal AI)(m/w/x)
Zürich
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Developing causal ML algorithms for Autonomous Process Control in manufacturing. Graph-based inference and deep learning implementation required. On-site work, phantom stock options.
Requirements
- Curiosity and eagerness to learn and grow
- Passion for cutting-edge tech and driving impact in manufacturing
- Solid Computer Science, Data Science, Math or Statistics foundations (degree or equivalent)
- Good software engineering skills
- Proficiency in Python
- Contribution to production code
- Hands-on experience with probabilistic modeling
- Hands-on experience with statistical inference
- Hands-on experience with causal reasoning
- Excellent communication skills in spoken and written English
- Strong motivation in dynamic, fast-paced environment
- Experience with time-series data from industrial or physical systems
- Familiarity with control systems and concepts
- Exposure to foundation models
- Exposure to deep learning for structured/tabular/time-series data
- Background in causal inference
- Experience with numerical optimization
- Experience with stochastic optimization
- Experience with process-oriented optimization
Tasks
- Develop and improve causal ML algorithms
- Handle categorical data and interaction effects
- Implement graph-based inference
- Build and validate algorithms for Autonomous Process Control
- Enhance analytics capabilities with advanced deep learning
- Transition prototypes to production deployments
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- probabilistic modeling
- statistical inference
- causal reasoning
- time-series data
- control systems
- foundation models
- deep learning
- causal inference
- optimization
Benefits
Competitive Pay
- Phantom stock options
Career Advancement
- Performance-based career paths
- Performance-based growth paths
Other Benefits
- On-site work
Modern Office
- Modern office
Flexible Working
- Flexible schedules
More Vacation Days
- Vacation bonus
Generous Parental Leave
- Flexible parental leave
Learning & Development
- Learning budget
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Ethon 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Ethon
Industry
Manufacturing
Description
Ethon is the number one Industrial AI Platform, a technology leader trusted by global manufacturers to optimize cost, quality, and speed.
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