Senior / Lead Machine Learning Engineer, Serving - Germany

Added
2 hours ago
Type
Full time
Salary
Salary not provided

Related skills

kubernetes llm cuda ray quantization

πŸ“‹ Description

  • Lead the development and optimization of real-time ML serving systems at scale.
  • Containerize research models and ensure reliable production deployment.
  • Collaborate with US leadership to translate research into production tooling.
  • Drive latency, throughput, and reliability improvements across deployments.

🎯 Requirements

  • Inference optimization with modern serving frameworks (vLLM, TRT-LLM).
  • Model acceleration: quantization, distillation, caching, batching, paging attention.
  • High-performance systems: C++, CUDA, Rust, or optimized Python; GPU profiling.
  • Distributed systems: Kubernetes, Ray; multi-GPU/multi-node inference; thousands of connections.
  • Public work: open-source contributions to major inference engines.
  • PhD or equivalent experience; English fluency in written and spoken.
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