{"id":109210,"url":"https://alion.io/job/extreme-networks-principal-machine-learning-engineer-10187","title":"Principal Machine Learning Engineer","company":{"id":1067,"name":"Extreme Networks","domain":"extremenetworks.com","url":"https://alion.io/company/extreme-networks","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":79,"open_postings":14,"ghost_share":0,"stale_share":0.786,"repost_share":0.071,"time_to_fill_p50_days":53,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorRT","optional":true},{"name":"Triton","optional":true}],"status":"live","first_seen_at":"2026-06-29T06:34:27Z","employer_posted_date":"2026-06-29","last_verified_at":"2026-10-27T12:47:07Z","board_verified":true,"closed_at":null,"days_open":120,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":120},"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.\nBecome part of something big with Extreme! As a global networking leader, learn why there is no better time to join the Extreme team.\nPosition details\nTitle of position: Principal Machine Learning Engineer\nPosition type: Full time\nLocation: Seattle, WA\nPosition reports to: Director of Software Systems Engineering\nApplication deadline: Applications are being accepted on a rolling basis and this posting will remain open until filled.\nWork authorization: We are unable to sponsor or take over sponsorship of an employment visa, including H-1B visas, at this time\nAbout the Position:\nPosition : Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data\nExperience : 10+ Years\nSeattle, WA - Hybrid\nOur 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.\n\nRequired Skills & Expertise:\nDegree in mathematics/computer science or related discipline.\n10+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.\n6+ years of experience in Python with an in-depth knowledge of its advanced features and libraries.\nExpertise in designing RESTful APIs with hands-on experience with technologies such as FastAPI.\nProficient in Docker, Kubernetes, and modern CI/CD practices.\n4+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).\nExperience as a mentor, tech lead or leading an engineering team.\nPreferred Qualifications:\nMS or PhD in Computer Science or equivalent experience in ML.\nExperience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).\nExperience with NoSQL and document databases.\nProven ability to handle big data, optimize workflows, and improve system performance.\nCome work with a team of highly talented engineers, and advance with us to achieve new heights every day!\nEqual Employment Opportunity\nExtreme 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.\nExtreme 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. 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