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Principal Machine Learning Engineer (10187)

Seattle, Washington, United States💼 Full-time🗓 2026-06-29 → 2026-09-26

Core

Designing and building intelligent, high-performance multi-agent systems for Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning to power flagship networking products.

Role type

Principal Machine Learning Engineer (Gen AI & Systems)

Builds

Intelligent network management platforms and new AI-driven offerings

Domain

Networking / Generative AI / Distributed Systems

Deliverable

production ML models | product features

Required skills

Python (6+ years), RESTful API design (FastAPI), Docker, Kubernetes, CI/CD, Cloud architecture (AWS/Azure/GCP), Distributed systems design, Engineering leadership/mentoring

Preferred skills

PyTorch, Sagemaker, Triton, TensorRT, NoSQL databases, Big data optimization

Technologies

FastAPI, Docker, Kubernetes, AWS, Azure, Google Cloud, PyTorch, Sagemaker, Triton, TensorRT

Responsibilities

Design and architecture of large distributed systems, Lead design of Gen AI platforms, Mentor engineering teams, Build AI Agents and RAG solutions

Seniority

Principal, hands-on IC with leadership

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