Senior Machine Learning Engineer
Extreme NetworksCloud Networking company
Seattle, United StatesSenior
Norwest Venture Partners
Kleiner Perkins Caufield & Byers
AVI Capital Management
Trinity Ventures
Data & AI
About the role
TL;DR
Innovate with Generative AI and shape next-gen networking experiences at Extreme Networks.
- •Join Extreme Networks as a Senior Machine Learning Engineer to innovate with Generative AI and shape next-gen networking experiences.
- •Key Responsibilities Serve as a thought leader and forward thinker, setting the technical vision and driving innovation across products and platforms.
- •Own and guide the full software development lifecycle at scale, including architecture, design, testing, deployment, and operations.
- •Architect and deliver high-performance, production-grade ML platforms and frameworks, enabling next-generation real-time ML and Generative AI systems.
- •Partner with senior engineers, scientists, and cross-functional leaders to accelerate experimentation, validation, and model integration, ensuring solutions are robust, scalable, and aligned with business goals.
- •Requirements Degree in Computer Science, Mathematics, or a related field 5+ years of experience across the full SDLC: design, coding, reviews, testing, deployment, and operations 5+ years of experience architecting and deploying end-to-end ML solutions in production environments Proven expertise developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning at scale Strong background in building and operating large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP Demonstrated ability to solve highly complex and ambiguous problems, setting direction for others
Required skills
PythonTensorFlowPyTorchscikit-learnApache KafkaAWSDockerKubernetesCI/CD
Domain expertise
ai
Tech stack
PythonTensorFlowPyTorchscikit-learnApache KafkaAWSDockerKubernetesCI/CD
