Principal Machine Learning Engineer (10187)

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:

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

This role offers a market‑competitive salary with an anticipated base compensation range of 150,000 to 200,000 USD. Actual compensation will depend on the selected candidate’s experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender‑neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below.

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.