Only AI Jobs


AI Senior Machine Learning Engineer -Gen AI, Machine Learning, Graph ML (10189)

ID: 9236

Type: Full-time

Category: Others

Company Name: Extreme Networks

Location: California (USA)

Education Level: Senior (5-10 years)

Visit company vacancy
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. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.

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: AI Senior Machine Learning Engineer - Gen AI, Machine Learning, Graph ML

Position type: Full time

Location: Seattle, WA / San Jose, CA

Position reports to: Director of SW Systems Engineering

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.

Scope:
 
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. 

About the position
  • Be 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.
  • Take 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.
  • Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.
  • Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.
  • Mentor and develop other engineers on the team, establish technical direction and foster team culture.
  • Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.

  • Basic Qualifications:
  • Degree in mathematics/computer science or related discipline.
  • 5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
  • 5 to 10 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.
  • 3+ 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!
  •  
  • Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.

  • Equal Employment Opportunity
    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.

    Fair chance and background checks
  • Extreme 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.
  • Extreme 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.
  • Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.

    We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
    Company Information

    Company Name: Extreme Networks

    Company Website: https://www.extremenetworks.com

    Company Address: 2121 RDU Center Drive, Suite 300Morrisville, NC 27560United States

    Extreme Networks is a global technology company that designs, develops, and delivers end-to-end networking hardware, software, and cloud services intended to create, manage, and secure enterprise and service-provider networks. The company’s offerings span wired and wireless infrastructure, cloud-managed network management, analytics and automation software, security and policy controls, and professional services for deployment and lifecycle support. Extreme positions its portfolio to address networking requirements across campus, branch, data center, and wide-area environments, with an emphasis on centrally managed, programmable, and observable networks. Core business activities - Product development and manufacturing: Extreme develops physical network infrastructure including Ethernet switches, routers, and wireless access points. These hardware products are designed for a range of environments from campus and branch deployments to data center aggregation and top-of-rack switching. The product portfolio typically includes fixed-configuration and modular switches, high-performance access and aggregation devices, and indoor/outdoor wireless access points. - Cloud and software platforms: A key element of Extreme’s business is its cloud-based network management and analytics platform, which provides centralized configuration, monitoring, automation, and machine learning–driven insights. The platform is offered as a hosted cloud service and in some cases as an on-premises or hybrid deployment to meet varied customer requirements for control and data residency. The software layer integrates device management, policy enforcement, telemetry collection, reporting, and automated workflows. - Network automation and AI/analytics: Extreme builds capabilities that apply analytics, automation, and artificial intelligence to networking tasks. These features aim to improve operational efficiency by enabling automated provisioning, anomaly detection, root-cause analysis, capacity planning, and user experience insights. Analytics are applied to wired and wireless telemetry to deliver visibility into devices, applications, clients, and network performance. - Security and policy: The company provides network access control, segmentation, and policy-enforcement tools that work across wired and wireless domains. These features support identity- and role-based access, integration with directory and security ecosystems, and the ability to quarantine or remediate devices based on security posture. - Services and support: Extreme offers professional services, training, and technical support to help customers plan, deploy, migrate, and operate their networks. Services include consulting, design and implementation, network migration and upgrades, and lifecycle management. Support offerings cover hardware maintenance, software updates, and available subscription models for cloud services. Main products and solutions - Cloud-managed network management: Extreme’s cloud platform provides centralized orchestration for switches, access points, and other network devices. It supports zero-touch provisioning, template-based configuration, policy management, firmware lifecycle management, and consolidated monitoring across multiple sites. - Switching portfolio: Extreme’s switching product lines deliver access, aggregation, and core switching choices for enterprise campus, branch, and data center environments. These products include Layer 2 and Layer 3 features, high-availability options, and support for modern automation and programmability interfaces. - Wireless LAN: The company’s wireless portfolio covers indoor and outdoor access points, controllers (cloud or on-premises), and associated management capabilities designed to support high-density environments, location services, and integrated security policy enforcement. - Network analytics and visibility: Products and features for telemetry collection, user and device analytics, application visibility, and performance baselining enable network teams to understand behavior and troubleshoot issues more quickly. These tools are intended to provide dashboards, alerts, and historical reporting. - Edge and IoT connectivity: Extreme’s networking solutions include features and accessories to support IoT device connectivity, PoE (Power over Ethernet) delivery, and edge computing use cases where local connectivity and management are critical. Target customers and use cases Extreme serves a broad range of customers including enterprises, educational institutions, healthcare organizations, retail chains, hospitality groups, and service providers. Typical use cases include campus and branch connectivity, wireless access for high-density venues, data center fabric and aggregation switching, managed Wi-Fi services, and cloud-managed multi-site network operations. The company’s solutions are used where centralized management, consistent policy enforcement, and operational automation are priorities. Go-to-market and partner ecosystem Extreme distributes products and services through a global channel of resellers, systems integrators, and managed-service providers, as well as through direct enterprise sales in some regions. The company maintains an ecosystem of technology integrations and partnerships to support identity services, security platforms, cloud providers, and orchestration tools, enabling customers to integrate networking with broader IT and security stacks. Corporate and operational characteristics As a networking vendor, Extreme combines hardware, embedded and cloud software, and subscription-based services to deliver recurring revenue alongside product sales. Its operational focus includes ongoing software development for management and analytics, hardware engineering for performance and interoperability, and professional services to assist customer adoption and operation. The company emphasizes centralized management, programmability, and operational intelligence as differentiators in modern IP networks. This description is intended to summarize Extreme Networks’ primary activities, product categories, and customer focus in a factual, neutral manner based on publicly available product and corporate positioning typically presented by the company.
    Visit company vacancy