Senior ML Engineer - Real-Time Networking AI Leader

Extreme Networks; Seattle (WA); On-site; USD 180,000 - 240,000; Full time

Job summary

Extreme Networks is seeking an AI Senior Principal Machine Learning Engineer to lead multi-disciplinary ML initiatives across cloud-driven networking solutions. The role focuses on generative AI, real-time ML platforms, and large-scale data processing leveraging Python, PyTorch, CUDA, and SageMaker.

Ideal candidates have 12+ years in software and ML with cloud experience, leadership capability, and a track record of building scalable ML systems that impact global products.

Qualifications

• Degree in mathematics/computer science or related discipline.
• 12+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
• 7+ years of experience in programming, with proficiency in Python or Java.
• 5+ years in leading design and architecture of large distributed cloud-based systems.
• Experience with distributed data and ML technologies (MapReduce, Spark, Flink, Kafka, PySpark, SageMaker).
• Experience as a mentor or tech lead on engineering teams.

Responsibilities

• Lead the end-to-end ML solution design and development across products and platforms.
• Drive development lifecycle, including design reviews, code reviews, testing, and deployment.
• Craft high-performance ML code for real-time AI platforms and extend ML libraries.
• Collaborate with engineers and scientists to accelerate model development and productionization at scale.
• Mentor engineers, set technical direction, and promote engineering excellence.
• Ensure operational resilience and scalable systems with strong reliability practices.

Skills

Python

Java

Cloud

PyTorch

CUDA

MapReduce

Spark

Flink

Kafka

PySpark

SageMaker

Education

Mathematics/Computer Science degree

Tools

AWS

Azure

Google Cloud

Job description

Extreme Networks is seeking an AI Senior Principal Machine Learning Engineer to lead multi-disciplinary ML initiatives across cloud-driven networking solutions. The role focuses on generative AI, real-time ML platforms, and large-scale data processing leveraging Python, PyTorch, CUDA, and SageMaker.

Ideal candidates have 12+ years in software and ML with cloud experience, leadership capability, and a track record of building scalable ML systems that impact global products.