Machine Learning & Cloud Infra Engineer (AI)

Location: On-site in London or Munich

Company

hirify.global develops World Models that combine generative AI, computer vision, and simulation to create physically grounded 3D environments.

What you will do

• Own and evolve ML and cloud infrastructure for training and evaluating large foundation models.
• Provision, scale, and maintain multi-node, multi-GPU clusters across cloud and on-premises environments.
• Enable high-throughput distributed training with PyTorch DDP/FSDP, NCCL, and performance debugging.
• Build storage, networking, caching, and data-locality systems for petabyte-scale datasets.
• Deploy workloads with Docker and Kubernetes, maintain Terraform infrastructure, and support reliable release processes.
• Implement observability, security, access management, incident response, and model-serving pathways.

Requirements

• 3+ years of professional experience in infrastructure, platform, or cloud engineering.
• Hands-on experience with GPU compute, CUDA/NCCL concepts, utilization analysis, profiling, and networking bottlenecks.
• Strong experience with AWS, GCP, or Azure, including networking, IAM, and cost management.
• Proficiency with Docker, Kubernetes, Terraform, Python, and Bash or PowerShell.
• Familiarity with PyTorch and distributed training approaches such as DDP/FSDP.
• Experience with monitoring, observability, and CI/CD tooling for infrastructure or ML workflows.

Culture & Benefits

• Work in a small engineering team focused on generative 3D AI and frontier systems.
• Collaborate closely with ML researchers and engineers on developer tooling and training infrastructure.
• Contribute to systems spanning robotics, AR/VR, gaming, and cinema applications.
• Inclusive workplace committed to equal opportunity and fair treatment throughout recruitment.