Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Full-timeOn-siteExperienced
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ETEthon
Applied ML Scientist for Causal Analytics and Process Optimization(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing causal ML algorithms for autonomous process control in manufacturing. Solid CS/Data Science foundations required. Phantom stock options, performance-based growth.
Requirements
- Curiosity and eagerness to learn and grow
- Passion for cutting-edge tech
- Driving impact in manufacturing
- Willingness to apply even if not all points checked
- Solid Computer Science, Data Science, Math or Statistics foundations or equivalent
- Good software engineering skills
- Proficiency in Python preferable
- Contribution to production code
- Hands-on probabilistic modeling experience
- Hands-on statistical inference experience
- Hands-on causal reasoning experience
- Excellent spoken and written English communication skills
- Strong motivation for dynamic, fast-paced environment
- Experience with time-series data from industrial systems
- Experience with time-series data from physical systems
- Familiarity with control systems
- Familiarity with control system concepts
- Exposure to foundation models
- Exposure to deep learning for structured data
- Exposure to deep learning for tabular data
- Exposure to deep learning for 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 in ML models
- Incorporate interaction effects into ML models
- Perform graph-based inference for ML
- Build algorithms for Autonomous Process Control
- Validate algorithms for Autonomous Process Control
- Enhance analytics with advanced deep learning
- Integrate deep learning capabilities into the technology stack
- Deploy ML implementations from prototype to production
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Competitive Pay
- Phantom stock options
Career Advancement
- Performance-based career & 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.
Not a perfect match?
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ETEthon
Applied ML Scientist for Causal Analytics and Process Optimization(m/w/x)
Zürich
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Developing causal ML algorithms for autonomous process control in manufacturing. Solid CS/Data Science foundations required. Phantom stock options, performance-based growth.
Requirements
- Curiosity and eagerness to learn and grow
- Passion for cutting-edge tech
- Driving impact in manufacturing
- Willingness to apply even if not all points checked
- Solid Computer Science, Data Science, Math or Statistics foundations or equivalent
- Good software engineering skills
- Proficiency in Python preferable
- Contribution to production code
- Hands-on probabilistic modeling experience
- Hands-on statistical inference experience
- Hands-on causal reasoning experience
- Excellent spoken and written English communication skills
- Strong motivation for dynamic, fast-paced environment
- Experience with time-series data from industrial systems
- Experience with time-series data from physical systems
- Familiarity with control systems
- Familiarity with control system concepts
- Exposure to foundation models
- Exposure to deep learning for structured data
- Exposure to deep learning for tabular data
- Exposure to deep learning for 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 in ML models
- Incorporate interaction effects into ML models
- Perform graph-based inference for ML
- Build algorithms for Autonomous Process Control
- Validate algorithms for Autonomous Process Control
- Enhance analytics with advanced deep learning
- Integrate deep learning capabilities into the technology stack
- Deploy ML implementations from prototype to production
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
Benefits
Competitive Pay
- Phantom stock options
Career Advancement
- Performance-based career & 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.
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.
Not a perfect match?
- Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Full-timeOn-siteExperiencedSchlieren - Sony Semiconductor Solutions
Machine Learning Engineer (Physical Modeling)(m/w/x)
Full-timeOn-siteExperiencedSchlieren - Takeda Pharmaceuticals International AG
Advanced Process Modeling Expert(m/w/x)
Full-timeOn-siteExperiencedZürich - Intrinsic
Research Scientist, Deep Learning(m/w/x)
Full-timeOn-siteExperiencedZürich - SAEKI Robotics
Tech Lead: Manufacturing Intelligence(m/w/x)
Full-timeOn-siteSeniorKloten