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AI Research Engineer - ML Engineering(m/w/x)
Description
You will bridge the gap between machine learning and systems engineering to build the scalable platforms and frameworks that power the company's mission-critical AI breakthroughs.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •MSc or PhD in Computer Science or STEM
- •Strong software engineering skills in Python
- •Fluency with modern DL frameworks
- •Ability to write custom layers and loops
- •Clear communication and theoretical concept building
- •First-principles mindset and rapid code integration
- •Experience debugging production ML pipelines
- •Experience training models on GPU clusters
- •Knowledge of cross-node communication patterns
- •Experience with large-scale multi-modal datasets
- •Proficiency with workload orchestrators
- •Low-level understanding of GPU architecture
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Extend integrated deep learning frameworks built on PyTorch
- •Enhance framework efficiency and ease of use
- •Scale infrastructure and tooling for distributed training
- •Design data strategies for large-scale datasets
- •Optimize storage to ensure maximum GPU utilization
- •Architect tools and platforms for autonomous decision-making
- •Abstract complex distributed systems to increase throughput
- •Maximize developer velocity through robust platform engineering
Tools & Technologies
Languages
English – Business Fluent
Benefits
Informal Culture
- •Outcome-focused work culture
Competitive Pay
- •Competitive compensation
- •Stock options
Other Benefits
- •Relocation support
Additional Allowances
- •Social allowances
- •Education allowances
Team Events
- •Regular company events
- •Regular all-hands meetings
Mentorship & Coaching
- •Hands-on onboarding program
- HelsingFull-timeOn-siteExperiencedBerlin, München
- Prior Labs
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AI Research Engineer - ML Engineering(m/w/x)
The AI Job Search Engine
Description
You will bridge the gap between machine learning and systems engineering to build the scalable platforms and frameworks that power the company's mission-critical AI breakthroughs.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •MSc or PhD in Computer Science or STEM
- •Strong software engineering skills in Python
- •Fluency with modern DL frameworks
- •Ability to write custom layers and loops
- •Clear communication and theoretical concept building
- •First-principles mindset and rapid code integration
- •Experience debugging production ML pipelines
- •Experience training models on GPU clusters
- •Knowledge of cross-node communication patterns
- •Experience with large-scale multi-modal datasets
- •Proficiency with workload orchestrators
- •Low-level understanding of GPU architecture
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Extend integrated deep learning frameworks built on PyTorch
- •Enhance framework efficiency and ease of use
- •Scale infrastructure and tooling for distributed training
- •Design data strategies for large-scale datasets
- •Optimize storage to ensure maximum GPU utilization
- •Architect tools and platforms for autonomous decision-making
- •Abstract complex distributed systems to increase throughput
- •Maximize developer velocity through robust platform engineering
Tools & Technologies
Languages
English – Business Fluent
Benefits
Informal Culture
- •Outcome-focused work culture
Competitive Pay
- •Competitive compensation
- •Stock options
Other Benefits
- •Relocation support
Additional Allowances
- •Social allowances
- •Education allowances
Team Events
- •Regular company events
- •Regular all-hands meetings
Mentorship & Coaching
- •Hands-on onboarding program
About the Company
Helsing
Industry
Science
Description
Helsing is a new type of defence and artificial intelligence company focused on technology leadership to protect democratic societies.
- Helsing
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ML Engineer, Cloud Platform(m/w/x)
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ML Engineer, Forward Deployed(m/w/x)
Full-timeOn-siteExperiencedfrom 110,000 / yearBerlin