Extreme Networks

Extreme Networks

AI Principal Machine Learning Engineer (10189)

Seattle, Washington, United States · Principal · Full-time

Sponsorship not specified$170k-$240kDetected 140 days ago
PythonDistributed SystemsCode ReviewNoSQLAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDRESTMachine LearningPyTorchLLMsRAGAgentic AI

About the role

  • As a global networking leader, learn why there's no better time to join the Extreme team.
  • As a global networking leader, learn why there is no better time to join the Extreme team.

Responsibilities

  • 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.

Requirements

  • 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.
  • 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).

Nice to have

  • 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.
  • 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.
  • 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.

Skills

  • Inclusion is one of our core values and in our DNA.
  • Position details

Compensation

  • Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.

Benefits

  • 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.

Equal opportunity

  • 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.
  • 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.

Visa & Work Authorization

  • Work authorization: Applicants must have legal authorization to work in the country where the role will be performed.
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This listing is sourced directly from Extreme Networks's careers page and normalized into a canonical job model.