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Helsing Logo Helsing · IT - Software Development

AI Research Engineer - ML Engineering

Germany; United Kingdom, Berlin · Job Posted February 16, 2026
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Job Description

At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise training throughput and developer velocity.

Job Responsibility

  • Extend our highly integrated deep learning frameworks (built on top of PyTorch), making them efficient and easy to use for a wide range of use cases
  • Scale our current infrastructure and tooling stack to support faster and larger distributed training
  • Design data strategy to support large scale datasets and efficient storage, ensuring GPUs stay warm

Requirements

  • Hold an MSc or PhD in Computer Science or STEM field, with a focus on Machine Learning and Deep Learning
  • Have strong software engineering skills in Python and fluency with modern DL frameworks (PyTorch/JAX/TensorFlow)
  • Are a clear communicator who can build from complex theoretical concepts and contribute to the company's internal engineering culture
  • Have a "first-principles" mindset
  • You have debugged production ML pipelines

Nice to have

  • You have hands-on experience training models on large-scale GPU clusters, implementing advanced parallelism strategies, and understanding the underlying cross-node communication patterns (NCCL, MPI)
  • You have worked with large-scale datasets made of different modalities
  • You are proficient with workload orchestrators like Slurm, Kubernetes, or Ray
  • You understand GPU architecture at a low level: memory hierarchies, warp execution, and what makes a GPU suited for training versus inference workloads

What we offer

  • Competitive compensation and stock options
  • Relocation support
  • Social and education allowances
  • Regular company events and all-hands
  • A hands-on onboarding program
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