Hidden company
Log in to see location
Premium
Senior Applied Scientist - Demand Forecasting
Log in free to see the details
AI Summary
Join Helsing, a defence AI company, to architect and implement scalable ML platforms for autonomous decision-making in defence. Focus on optimizing deep learning frameworks (PyTorch), distributed training, and GPU-efficient data pipelines. Requires MSc/PhD in CS/STEM with hands-on ML engineering experience.
Key Highlights
Architect scalable ML platforms for defence AI applications.
Optimize deep learning frameworks (PyTorch-based) for distributed training.
Design data pipelines for large-scale, GPU-efficient workloads.
Key Responsibilities
Extend and optimize deep learning frameworks for efficiency and scalability.
Scale infrastructure and tooling for faster distributed training.
Design data strategies for large-scale datasets and GPU optimization.
Looking to advance your Machine Learning & AI career with relocation support? Explore Machine Learning & AI Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
Technical Skills Required
Benefits & Perks
Competitive salary and VSOP options
Relocation support (up to €2,500 + 4 weeks accommodation)
Learning allowance (€500/year)
Health & wellness benefits (gym, mental health support)
Enhanced parental leave (22 weeks fully paid for primary caregivers)
Family support (paid emergency leave, remote work during pregnancy)
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
Nice to Have
Experience with large-scale GPU clusters and advanced parallelism (NCCL, MPI).
Multi-modal dataset handling and data locality optimization.
Proficiency with workload orchestrators (Slurm, Kubernetes, Ray).
Low-level GPU architecture knowledge (memory hierarchies, warp execution).
Job Description
Helsing is a defence AI company dedicated to protecting democracies through ethical and sovereign AI technologies. We are pioneering autonomous decision-making in defence, spanning high-volume data processing, reinforcement learning (RL), and large-scale foundation models.
What you will do
- Extend our deep learning frameworks (built on PyTorch) to enhance efficiency and usability for diverse use cases.
- Scale infrastructure and tooling to accelerate distributed training and maximize throughput.
- Design data strategies for large-scale datasets, ensuring optimal GPU utilization and storage efficiency.
You should apply if
Want the full job description?
Read the complete details on LinkedIn, the original posting.
Continue on LinkedIn
This is a short excerpt. All rights to the full description belong to its original publisher.
Keep exploring
Similar Jobs
Explore other opportunities that match your interests
Helsing
Germany
Machine Learning Research Engineer – RF Signal Processing
- AI
- Embedded
- Machine Learning
- Python
Mercor
United States
ML Engineer, Frontier Data Products
- AI
- AWS
- Machine Learning
- Python
Relocation Guides
Step-by-step relocation guides, from moving logistics to settling abroad.
Can You Get Relocation Assistance for an Internal Job Transfer?
Changing locations for work is already a lot to manage. But when it happens within the same company, people often assume the finan...
Read Article
What Happens to Relocation Assistance If You Leave the Job?
If you leave your job after moving, your employer will likely ask for some or all of your relocation money back. Most jobs with re...
Read Article
Hidden Costs of Job Relocation: What Employers May Not Cover
You might think that relocation assistance is like an all-expenses-paid fresh start, but it’s usually not as simple and straightfo...
Read Article
Relocation Assistance vs. Visa Sponsorship: What’s the Difference?
For anyone trying to land a job abroad, visa sponsorship and relocation assistance are usually the first things they look for in a...
Read ArticleSubscribe to our newsletter
New visa sponsorship, relocation and remote tech jobs, delivered to your inbox.