Staff ML Engineer – Gen AI & Large-Scale Systems (Seattle, Hybrid)

Extremenetworks; Seattle (WA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible work schedules

Work-from-home opportunities

Paid time off

Retirement savings programs

Employee Stock Purchase Program

Employee assistance program

Tuition reimbursement

Job summary

Extreme Networks, Inc. in Seattle seeks a Staff Machine Learning Engineer to advance Gen AI, ML, graph ML, and big data initiatives within the AI Core group.

You will help build intelligent, high‑performance multi‑agent systems that perceive, learn, and act in real time, collaborating with senior engineers and product teams. The role requires 8+ years in software development, expertise in Python, RESTful APIs with FastAPI, Docker, Kubernetes, and cloud architectures.

Qualifications

• 8+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
• 6+ years of experience in Python with an in-depth knowledge of its advanced features and libraries.
• Expertise in designing RESTful APIs with hands-on experience with FastAPI.
• Proficient in Docker, Kubernetes, and modern CI/CD practices.
• 4+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
• Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

• Lead the design and architecture of large distributed AI systems on cloud platforms.
• Collaborate with cross-functional teams to ship scalable ML products and platforms.

Skills

Python

RESTful APIs

Distributed systems design

Mentor / Tech lead

Big Data

Machine Learning

Education

MS or PhD in Computer Science or ML

Degree in mathematics/computer science or related discipline

Tools

FastAPI

Docker

Kubernetes

CI/CD

Job description

Extreme Networks, Inc. in Seattle seeks a Staff Machine Learning Engineer to advance Gen AI, ML, graph ML, and big data initiatives within the AI Core group.

You will help build intelligent, high‑performance multi‑agent systems that perceive, learn, and act in real time, collaborating with senior engineers and product teams. The role requires 8+ years in software development, expertise in Python, RESTful APIs with FastAPI, Docker, Kubernetes, and cloud architectures.