Extreme Networks Inc.

Extreme Networks Inc.

Staff/Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data(10030)

United States · Principal

Sponsorship not specified$170k-$240kDetected 498 days ago
PythonDistributed SystemsCode ReviewNoSQLAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDRESTMachine LearningPyTorchLLMs

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 80%

Of 5 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 496 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

5 transfer filings in the last year, covering 5 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Inclusion is one of our core values and in our DNA.
  • As a global networking leader, learn why there's no better time to join the Extreme team.
  • We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation.

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!
  • 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!
  • Whether blatant or hidden, barriers to success have no place at Extreme Networks.

Skills

  • Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.

Compensation

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

Company info

  • Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions.
  • Become part of Something big with Extreme!
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This listing is sourced directly from Extreme Networks Inc.'s careers page and normalized into a canonical job model.