3 senior machine learning engineer tech lead jobs at 3 companies in Seattle, WA
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Tech Lead, Machine Learning Infrastructure Engineer
Seattle or Bellevue
$198k-$416k/yr OnsiteFull Time
5+ YOEBachelor’s or master’s degree in a technical discipline; 5+ years software engineering and 3+ years ML infrastructure experience. Requires Python, C++ or Java, distributed systems, GPU clusters, Kubernetes or Slurm, PyTorch or TensorFlow, CUDA, and networking expertise.
Python, C++, Java, Kubernetes, Slurm, PyTorch, TensorFlow, CUDA, InfiniBand, RoCE, Megatron, DeepSpeed, Triton, Cutlass, TensorRT, Triton Inference Server
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Tech Lead-Machine Learning Engineer (Agent & Multi-Agent Systems) – AIGC Risk Intelligence
Seattle, Washington, United States
$233k-$428k/yr OnsiteFull Time
5+ YOE5+ years in software or applied AI; deep knowledge of LLM-based agent architectures, distributed/modular AI, backend engineering (Python); experience with adversarial/high-stakes systems and system-level observability.
Python
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Sr. MLE, Prime Video ML Platform
Sunnyvale or Seattle or New York
$168k-$262k/yr OnsiteFull Time
5+ YOE5+ Mgmt5+ years software development and systems design experience, ML/LLM fundamentals, expertise in model lifecycle, mentorship/tech lead experience, and familiarity with ML frameworks listed.
JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, TensorRT