Senior Machine Learning Engineer (10187)

Extreme Networks · Seattle, Washington, United States

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: Senior Machine Learning Engineer

Position type: Full time

Location: Seattle, WA

Position reports to: Staff Machine Learning Engineer

Application deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.

Work authorization: Applicants must have legal authorization to work in the country where the role will be performed.

About the Position:

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

Experience : 4+ 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.

4+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.

4+ 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.

2+ 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.

AI Engineering pay context

Based on 557 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $201K/year, with most offers between $162K and $237K (10th–90th percentile: $131K–$275K).

This posting lists $110K–$160K, below the $201K market median.

See the full AI Engineering salary breakdown →

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