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Helsing

AI Research Engineer - ML Engineering

Helsing · Berlin; London; Munich

Posted about 2 months ago

or apply directly on Helsing's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Helsing's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of Helsing's roles list one
Ghost-job risk at Helsing
high
117 stale, 3 reposted of 141 open
Hiring momentum
187 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Helsing's own greenhouse board since 2026-08-03. Full hiring picture for Helsing.

About this role

As a Staff AI Research Engineer at Helsing, you will work on pioneering autonomous decision-making technologies for defense. Your day-to-day responsibilities will include extending deep learning frameworks, scaling infrastructure for distributed training, and designing data strategies for large datasets. You will collaborate with a cross-functional team to build robust and scalable platforms that enhance training throughput and developer velocity.

Our read on this posting3.0out of 5
benefits
5/5
freshness
1/5
career value
5/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Helsing as an employer.

What you need

  • MSc or PhD in Computer Science or STEM field with a focus on Machine Learning and Deep Learning
  • Strong software engineering skills in Python
  • Fluency with modern deep learning frameworks (PyTorch/JAX/TensorFlow)
  • Ability to write custom layers, loss functions, and distributed training loops
  • Clear communication skills and ability to contribute to internal engineering culture
  • Experience debugging production ML pipelines

Nice to have

  • Hands-on experience training models on large-scale GPU clusters
  • Experience with advanced parallelism strategies and cross-node communication patterns (NCCL, MPI)
  • Familiarity with large-scale datasets of different modalities
  • Proficiency with workload orchestrators like Slurm, Kubernetes, or Ray
  • Understanding of GPU architecture at a low level

What you get

  • Competitive salary and VSOP options
  • Relocation support up to €2,500 and 4 weeks temporary accommodation
  • €500/£450 yearly learning allowance
  • Gym membership and mental health support
  • Regular company events and monthly social allowances
  • Enhanced parental leave (22 weeks fully paid for primary caregivers, 6 weeks for secondary caregivers)

Worth weighing

  • No specific salary listed
  • Work in a highly unusual technical domain with unique challenges
  • Focus on ethical implications of technology in defense
  • Role involves significant responsibility and autonomy

Summarised from Helsing's posting. Read the full original.

Listed by Helsing on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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