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ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
2mo
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Senior Machine Learning Engineer
Wichita or Waldorf or Lawton or Round Rock
OnsiteFull Time
Knowmadics: Develops AI-driven electronic warfare and situational awareness software platforms.
7+ YOE7-10 years in software or ML engineering; Python ML pipelines; deep learning libraries (e.g., PyTorch); C or systems programming; ETL with Kafka/Spark; ML for unstructured data; GPUs/CUDA; production model deployment; US citizenship and eligible for clearance.
Python, PyTorch, CUDA, Kafka, Spark, Docker, Kubernetes, Helm