Staff Machine Learning Engineer (10030)

Extremenetworks; Seattle (WA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Flexible work schedules

Work-from-home opportunities

Paid time off

Retirement savings programs

Employee Stock Purchase Program

Employee assistance program

Tuition reimbursement

Job summary

Extreme Networks, Inc. in Seattle seeks a Staff Machine Learning Engineer to advance Gen AI, ML, graph ML, and big data initiatives within the AI Core group.

You will help build intelligent, high‑performance multi‑agent systems that perceive, learn, and act in real time, collaborating with senior engineers and product teams. The role requires 8+ years in software development, expertise in Python, RESTful APIs with FastAPI, Docker, Kubernetes, and cloud architectures.

Qualifications

• 8+ 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 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.

Responsibilities

• Lead the design and architecture of large distributed AI systems on cloud platforms.
• Collaborate with cross-functional teams to ship scalable ML products and platforms.

Skills

Python

RESTful APIs

Distributed systems design

Mentor / Tech lead

Big Data

Machine Learning

Education

MS or PhD in Computer Science or ML

Degree in mathematics/computer science or related discipline

Tools

FastAPI

Docker

Kubernetes

CI/CD

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: Staff Machine Learning Engineer

Position type: Full time

Location: Seattle, WA

Position reports to: Principal 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.

• Job Title: Staff Machine Learning Engineer – Gen AI, Machine Learning, Graph ML, Big Data
• Experience: 8+ Years
• Location: 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.

• Degree in mathematics/computer science or related discipline.
• 8+ 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.

• 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!

1. 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.
2. 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.