---
title: 'Principal Machine Learning Engineer (10187) at Extreme Networks'
canonical: 'https://feeny.ai/job/principal-machine-learning-engineer-10187-extreme-networks-seattle-washington-w2w84bhjesw7'
type: 'job'
last_seen: '2026-09-08'
---

# Principal Machine Learning Engineer (10187) at Extreme Networks

- **Company:** Extreme Networks
- **Location:** Seattle Washington, United States
- **Compensation:** $150k–$200k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-29
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/extremenetworks/df3274b9-25bd-4bde-bdb6-e8e473e7f636

## Job description

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. Position details Title of position: Principal Machine Learning Engineer Position type: Full time Location: Seattle, WA Position reports to: Director of Software Systems Engineering Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled. Work authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time

About the Position:

- Position : Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data

Experience : 10+ Years

Seattle, WA - Hybrid

Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.

Required Skills & Expertise:

- Degree in mathematics/computer science or related discipline.
- 10+ 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.

Preferred Qualifications:

- MS or PhD in Computer Science or equivalent experience in ML.
- Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).
- Experience with NoSQL and document databases.
- Proven ability to handle big data, optimize workflows, and improve system performance.
- Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!

## Equal Employment Opportunity

- Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
- Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.

Benefits and total rewards: Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include: 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 Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment.

## About Extreme Networks

## Company Overview
- **One-liner**: Extreme Networks is a publicly traded leader in AI-powered cloud networking, providing unified, secure, and simplified network solutions for enterprises.
- **Entity Type**: Public (NASDAQ: EXTR)
- **Headquarters**: Morrisville, North Carolina, United States
- **Founded**: 1996
- **Founders**: Stephen Haddock, Herb Schneider, Gordon Stitt

## Core Business
- **Primary industry**: Enterprise networking, cloud networking, and AI-driven network management.
- **Target customers**: B2B – mid-market to large enterprises, service providers, and public sector organizations globally.
- **Mission / purpose**: To push the boundaries of networking technology, making it simpler, faster, more agile, and secure – helping customers connect beyond the network and drive better outcomes.

## Products & Services
- **ExtremeCloud IQ**: Cloud-based network management platform with AI-driven analytics and automation (SaaS).
- **ExtremeXOS**: Modular network operating system for switches and routers.
- **ExtremeWireless**: Wi-Fi 6/6E/7 access points and controllers.
- **ExtremeSwitching**: Enterprise switches for campus, data center, and edge.
- **Extreme Fabric Connect**: Software-defined networking fabric for automated and secure connectivity.
- **ExtremeAnalytics**: Network analytics and visibility tools.
- **ExtremeRouting**: High-performance routers for WAN and edge.

## Market Standing
- **Valuation / Market Cap**: $1.9 billion (as of mid-2026)
- **Key Metric (Revenue)**: $1.3 billion annual revenue (FY2026); SaaS ARR of $244 million
- **Notable Investors / Partners**: Publicly traded with institutional investors; partners include major system integrators and channel resellers.
- **Growth Signals**: 4.0% YoY employee growth (2,300 people); over 3.3 million devices connected to the cloud; strong recurring revenue from SaaS; continued investment in AI and automation.

## Competitive Advantages
- **Unified, AI-driven platform** that combines networking, security, and analytics in a single cloud-native solution.
- **Over 25 years of enterprise networking expertise** with a large installed base and global support.
- **Strong focus on automation and self-driving networks** reduces operational complexity for IT teams.
- **Open architecture and integration** with major cloud providers and third-party ecosystems.

## Strategic Focus
- **AI and automation**: Embedding AI/ML across the portfolio to enable proactive, self-healing networks.
- **Cloud-first approach**: Driving adoption of ExtremeCloud IQ and expanding SaaS offerings.
- **Security convergence**: Integrating network security (e.g., micro-segmentation, zero-trust) directly into the networking stack.
- **Edge and wireless innovation**: Advancing Wi-Fi 7 and private 5G capabilities.

## Why Work Here
- **Culture**: Core values include Teamwork, Transparency, Candor, Curiosity, Ownership, and Inclusion. Multiple Employee Resource Groups (ERGs) foster an inclusive environment.
- **Work model**: Hybrid/remote-friendly offices in Morrisville (HQ), Salem (NH), Markham (Canada), and San Jose (CA) – roles vary by team.
- **Benefits**: Comprehensive compensation and benefits package supporting physical, emotional, and financial health.
- **Engineering culture**: Opportunity to build next-generation AI-driven, self-driving networks; work with big data, machine learning, and cloud technologies.
- **Early career programs**: Internships and development programs for university students and recent graduates.
- **Employer rating**: 3.9/5.0 on LinkedIn (1,184 reviews) with strong work-life balance (4.0) and culture (3.9).

## Sources
1. [LinkedIn Company Page](https://linkedin.com/company/extreme-networks)
2. [Extreme Networks Careers Page](https://www.extremenetworks.com/about-extreme-networks/career)
3. [Extreme Networks Company Page](https://www.extremenetworks.com/about-extreme-networks/company)
4. [Extreme Networks Investor Relations](https://investor.extremenetworks.com/overview/default.aspx)
5. [Extreme Networks Lever Careers](https://jobs.lever.co/extremenetworks)

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