ML Systems Engineer: Distributed GPU Training & RL Pipelines
Nebius B.V.
Nebius B.V. is building an AI training and model post-training capability focused on frontier models. This role owns the infrastructure for large-scale training, RL experiments, and production-grade workflows. You will work at the intersection of distributed systems, GPU performance, and ML framework integration. The role requires strong Python and PyTorch engineering skills, hands-on experience with distributed model training, and the ability to optimize throughput and memory across multi-GPU #J-18808-Ljbffr Nebius B.V.
Vacancy posted 4 days ago
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