Helsing
AI Research Engineer - Foundation Models(m/w/x)
Full-timeOn-siteExperienced
Berlin, München
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HEHelsing
AI Research Engineer - ML Engineering(m/w/x)
Berlin, München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Scaling deep learning frameworks on PyTorch for distributed training and GPU optimization in defence AI. MSc/PhD in CS/STEM and strong Python software engineering skills required. Stock options, relocation support, and social allowances.
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
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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- TensorFlow
- NCCL
- MPI
- Slurm
- Kubernetes
- Ray
- GPU
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
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 - ML Engineering(m/w/x)
Berlin, München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Scaling deep learning frameworks on PyTorch for distributed training and GPU optimization in defence AI. MSc/PhD in CS/STEM and strong Python software engineering skills required. Stock options, relocation support, and social allowances.
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
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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- JAX
- TensorFlow
- NCCL
- MPI
- Slurm
- Kubernetes
- Ray
- GPU
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
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
Science
Description
Helsing is a new type of defence and artificial intelligence company focused on technology leadership to protect democratic societies.
Not a perfect match?
- Helsing
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MLOps / ML Systems Engineer(m/w/x)
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ML Engineer, Cloud Platform(m/w/x)
Full-timeOn-siteExperiencedBerlin, Freiburg im Breisgaufrom 140,000 / year - Prior Labs
ML Engineer, Forward Deployed(m/w/x)
Full-timeOn-siteExperiencedBerlinfrom 110,000 / year