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Extreme Networks

Staff Machine Learning Engineer

Extreme Networks

. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions.

Posted 6/29/2026full-timeSeattle • Washington • 🇺🇸 United StatesLead💰 $160,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsDockerKubernetesPython

About the role

Key responsibilities & impact
  • Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions.
  • They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress.
  • Become part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.
  • Work with our AI Core group pioneering platforms and solutions for Generative AI.
  • Collaborate in building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

Requirements

What you’ll need
  • Degree in mathematics/computer science or related discipline.
  • 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 technologies such as 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.

Benefits

Comp & perks
  • Medical, dental, and vision insurance
  • Flexible work schedules and work-from-home opportunities where role permits
  • Paid time off, including open time off in eligible markets and statutory leave in all markets
  • Paid holidays in accordance with local practice
  • Retirement savings programs, including RRSP matching in Canada
  • Employee Stock Purchase Program, where eligible
  • Employee assistance program
  • Tuition reimbursement, where eligible

ATS Keywords

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Hard Skills & Tools
Software Development LifecycleCode ReviewsTestingBuild ProcessesDeploymentsOperationsFastAPIDistributed Systems DesignCloud Platforms
Soft Skills
MentoringTeam Leadership