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AI Research Engineer - ML Engineering

Berlin; London; Munich💼 Full-time🗓 2026-05-28 → 2026-07-31

Core

Architecting and implementing scalable ML platforms and tools for autonomous decision-making in defence, focusing on distributed training and deep learning frameworks.

Role type

Senior IC machine-learning engineer (systems & infrastructure)

Builds

Scalable distributed training infrastructure and deep learning frameworks for defence AI applications

Domain

Defence / Machine Learning / Distributed Systems

Deliverable

production ML models

Required skills

Python, PyTorch, JAX, TensorFlow, distributed training, custom layer development, data strategy, GPU optimization

Preferred skills

NCCL, MPI, Slurm, Kubernetes, Ray, GPU architecture, large-scale multi-modal datasets

Technologies

PyTorch, JAX, TensorFlow, NCCL, MPI, Slurm, Kubernetes, Ray

Responsibilities

Extend deep learning frameworks for efficiency and ease of use; Scale infrastructure and tooling for faster distributed training; Design data strategy for large-scale datasets and efficient GPU utilization

Seniority

Senior, hands-on IC

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