AI Principal Machine Learning Engineer (10189)
- Location
- Seattle, WA
- Job type
- Full-time
- Level
- Executive
- Listed
- 31 days ago
Skills & highlights for this role
- generative AI
- retrieval-augmented generation
- LLM fine-tuning
Also useful
- graph machine learning
- anomaly detection
- knowledge bases
About the role
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. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
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 - Gen AI, Machine Learning, Graph ML
- Position type: Full time
- Location: Seattle, WA / San Jose, CA
- Position reports to: Director of SW 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
Scope
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.
From Extreme Networks's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
Where is the AI Principal Machine Learning Engineer (10189) job at Extreme Networks located?
This AI Principal Machine Learning Engineer (10189) position at Extreme Networks is located in Seattle, WA. Always check Extreme Networks's application page for specific state eligibility or relocation policies.
What qualifications are required for AI Principal Machine Learning Engineer (10189) at Extreme Networks?
For the AI Principal Machine Learning Engineer (10189) role, Extreme Networks highlights experience with generative AI, retrieval-augmented generation, LLM fine-tuning. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the AI Principal Machine Learning Engineer (10189) position at Extreme Networks?
This listing links directly to Extreme Networks's Lever application page. You can apply directly on Extreme Networks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Lever application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.