AI Principal Machine Learning Engineer (10189) at Extreme Networks

Confirmed open

Lead AI and machine learning engineering for Extreme Networks’ AI Core group, building agent systems, retrieval tools and real-time inference for cloud networking products. This U.S. remote role is tied to Seattle or San Jose and does not offer visa sponsorship.

Extreme Networks

Location: Remote
Advertised region: Seattle, Washington, United States
Employment: Fulltime
Work arrangement: remote
Salary: USD 170,000–240,000 base per year
Work authorization: Must be authorized to work in the United States; the employer cannot sponsor or transfer an employment visa, including H-1B.
Technologies: Python, AWS, Azure, Kubernetes, Docker, PyTorch

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Role overview

Extreme Networks’ AI Core group builds generative AI platforms for its cloud networking products. The work spans AI agents, retrieval-augmented generation, knowledge bases, data mining, anomaly detection and LLM fine-tuning. The team aims to build systems that help manage networks in real time.

This principal engineer leads technical direction and stays hands-on across architecture, code review, implementation, deployment and operations. The employer lists Seattle, Washington and San Jose, California in the position details, while marking the posting remote. The posting does not define whether work can be performed outside those locations.

Responsibilities

Set technical direction for machine learning solutions across products and platforms, and mentor other engineers.
Lead design, testing, deployment and operation of software systems; participate in design and code reviews.
Design high-scale microservices and synchronous and asynchronous web services.
Build real-time inference for complex models using Triton, TensorRT and mixed-precision computing.
Improve system resilience, scalability, engineering rigor and operational processes.

Qualifications

Degree in mathematics, computer science or a related field.
Five to ten years across the software development lifecycle, including design, coding, reviews, testing, builds, deployment and operations.
Five to ten years of Python experience, with advanced language and library knowledge.
Hands-on REST API design, including technologies such as FastAPI.
Experience with Docker, Kubernetes and modern CI/CD practices.
At least three years leading the design and architecture of large distributed systems, preferably on AWS, Azure or Google Cloud.
Experience mentoring engineers, serving as a technical lead or leading an engineering team.
Preferred: an MS or PhD in computer science or equivalent ML experience, plus exposure to PyTorch, SageMaker, Triton, TensorRT, NoSQL and large-scale data processing.

Technology in this role

Python: Python AWS Azure Kubernetes Docker .
AWS: Python AWS Azure Kubernetes Docker .
Azure: Python AWS Azure Kubernetes Docker .
Kubernetes: Python AWS Azure Kubernetes Docker .
Docker: Python AWS Azure Kubernetes Docker .
PyTorch: Python AWS Azure Kubernetes Docker .
LLM: The work spans AI agents, retrieval-augmented generation, knowledge bases, data mining, anomaly detection and LLM .
RAG: Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM .
Google Cloud: At least three years leading the design and architecture of large distributed systems, preferably on AWS, Azure or Google .
CI/CD: Experience with Docker, Kubernetes and modern CI/CD .
CAN: The posting does not define whether work can be performed outside those .
REST API: Hands-on REST API design, including technologies such as .
FastAPI: Hands-on REST API design, including technologies such as .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This AI Principal Machine Learning Engineer (10189) position at Extreme Networks is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “Extreme Networks’ AI Core group builds generative AI platforms for its cloud networking products. The work spans AI agents, retrieval-augmented generation, knowledge bases, data mining, anomaly detection and LLM…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Set technical direction for machine learning solutions across products and platforms, and mentor other engineers.”; “Lead design, testing, deployment and operation of software systems; participate in design and code reviews.”; “Design high-scale microservices and synchronous and asynchronous web services.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem.

Benefits

Anticipated base salary is USD 170,000–240,000 per year, depending on qualifications and work location; the role is also eligible for a performance bonus.
The U.S. benefits described include medical, dental and vision insurance, paid time off, holidays and retirement savings with 401(k) matching.
The employer also lists an employee stock purchase program, eligible adoption and fertility support, assistance programs, tuition reimbursement, and life and disability insurance. Eligibility varies by role and location.

About Extreme Networks

Extreme Networks develops cloud-driven enterprise networking products and services. Its posting says more than 50,000 customers use its networking solutions and support.

This role sits in the AI Core group, which applies generative AI and machine learning to the company’s network-management products and new offerings.

Employer website