Helsing
AI Research Engineer - Foundation Models(m/w/x)
Full-timeOn-siteExperienced
Berlin, München
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HEHelsing
AI Research Engineer - AI Safety(m/w/x)
München, Berlin
Full-timeOn-siteManagement
AI/ML
Nejo AI Summary
Evaluating reliability and developing uncertainty quantification for in-house AI systems. STEM MSc with strong math background required. Stock options, relocation support, and education allowances.
Requirements
- STEM MSc with strong math background
- Excellent communication skills
- Passion for current research
- Solid software engineering skills
Tasks
- Define operational domains for AI capabilities.
- Evaluate the reliability of in-house AI systems.
- Develop methods for uncertainty quantification.
- Extend techniques for uncertainty calibration.
- Interface with AI systems to assess robustness.
- Evaluate AI performance in real-world scenarios.
- Collaborate on impactful projects across teams.
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Rust
- Java
- modern C++
Benefits
Purpose-Driven Work
- Outcome-focused work environment
Competitive Pay
- Competitive compensation and stock options
Other Benefits
- Relocation support
Additional Allowances
- Social and education allowances
Team Events
- Regular company events
Mentorship & Coaching
- Hands-on onboarding program
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Helsing 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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HEHelsing
AI Research Engineer - AI Safety(m/w/x)
München, Berlin
Full-timeOn-siteManagement
AI/ML
Nejo AI Summary
Evaluating reliability and developing uncertainty quantification for in-house AI systems. STEM MSc with strong math background required. Stock options, relocation support, and education allowances.
Requirements
- STEM MSc with strong math background
- Excellent communication skills
- Passion for current research
- Solid software engineering skills
Tasks
- Define operational domains for AI capabilities.
- Evaluate the reliability of in-house AI systems.
- Develop methods for uncertainty quantification.
- Extend techniques for uncertainty calibration.
- Interface with AI systems to assess robustness.
- Evaluate AI performance in real-world scenarios.
- Collaborate on impactful projects across teams.
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Rust
- Java
- modern C++
Benefits
Purpose-Driven Work
- Outcome-focused work environment
Competitive Pay
- Competitive compensation and stock options
Other Benefits
- Relocation support
Additional Allowances
- Social and education allowances
Team Events
- Regular company events
Mentorship & Coaching
- Hands-on onboarding program
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Helsing 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
Helsing
Industry
IT
Description
Helsing focuses on AI-based capabilities and enabling foundations for machines to assist human decision-making, with a focus on AI Assurance, uncertainty quantification, and safety mechanisms.
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