{"id":1873,"url":"https://alion.io/job/extreme-networks-ai-principal-machine-learning-engineer-10189","title":"AI 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":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":170000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":5,"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":"TensorRT","optional":false},{"name":"Triton","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2026-03-04T18:48:43Z","employer_posted_date":"2026-03-04","last_verified_at":"2026-10-21T14:44:12Z","board_verified":true,"closed_at":null,"days_open":230,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":230},"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 - Gen AI, Machine Learning, Graph ML\nPosition type: Full time\nLocation: Seattle, WA / San Jose, CA\nPosition reports to: Director of SW 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\nScope:\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.\nAbout the position\nBe a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.\nTake the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.\nCraft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.\nDevelop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.\nMentor and develop other engineers on the team, establish technical direction and foster team culture.\nUphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.\nBasic Qualifications:\nDegree in mathematics/computer science or related discipline.\n5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.\n5 to 10 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.\n3+ 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!\nSalary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.\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. We encourage people from underrepresented groups to apply.\nFair chance and background checks\nExtreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken.\nExtreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation.","description_format":"text","description_chars":5446,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Infrastructure & Networking Services","Enterprise Networks","Network Equipment"],"lifecycle":[{"event":"open","at":"2026-03-04T18:48:43Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 28 · green card filings: 7","filings_12m":28,"filings_prev_12m":31,"green_card_filings_12m":7,"median_offered_wage_usd":147500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":17}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.361,"p_room":0.28,"age_days":230,"expected_fill_days":53,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":240000,"is_top_pay":true},"html_url":"https://alion.io/job/extreme-networks-ai-principal-machine-learning-engineer-10189","json_url":"https://alion.io/job/extreme-networks-ai-principal-machine-learning-engineer-10189.json","meta":{"generated_at":"2026-10-21T17:25:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24618,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1067},"rest":"https://alion.io/mcp/rest/get_company?id=1067"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fextreme-networks-ai-principal-machine-learning-engineer-10189"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fextreme-networks-ai-principal-machine-learning-engineer-10189"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fextreme-networks-ai-principal-machine-learning-engineer-10189"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/extreme-networks-ai-principal-machine-learning-engineer-10189\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fextreme-networks-ai-principal-machine-learning-engineer-10189"}]}