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Extreme Networks

Provides switching, routing, wireless, and security

Senior Software Engineer (GenAI, ML)

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeSeattle, WA, USA$170kHybrid

About the Job

Requirements

  • A degree in Computer Science, Mathematics, or a related field is required.
  • At least 5 years of experience across the full software development lifecycle, including design, coding, reviews, testing, deployment, and operations.
  • At least 5 years of experience architecting and deploying end-to-end machine learning solutions in production environments.
  • Expertise developing Generative AI solutions such as retrieval-augmented generation, AI agents, and large language model fine-tuning at scale.
  • A strong background building and operating large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP.
  • Demonstrated ability to solve highly complex and ambiguous problems and set direction for others.

Responsibilities

  • Set technical vision and drive innovation across products and platforms, shaping long-term strategy by designing and launching strategic machine learning solutions with company-wide impact.
  • Own and guide the full software development lifecycle at scale, including architecture, design, testing, deployment, and operations.
  • Lead technical discussions, define best practices, and ensure engineering rigor through design and code reviews.
  • Architect and deliver high-performance, production-grade machine learning platforms and frameworks for next-generation real-time machine learning and Generative AI systems.
  • Partner with senior engineers, scientists, and cross-functional leaders to accelerate experimentation, validation, and model integration, ensuring solutions are robust, scalable, and aligned with business goals.

Desired Qualifications

  • A Master of Science or PhD in Computer Science, Machine Learning, or a related discipline.
  • Experience with graph machine learning and graph technologies such as graph neural networks or Graph RAG.
  • Deep expertise with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, or Glue.
  • A track record of mentoring engineers and influencing cross-team initiatives.

About the Company

Extreme Networks

Provides switching, routing, wireless, and security

Extreme Networks provides networking solutions for organizations, including switching, routing, wireless, data center fabrics, and cloud-based management with security and ML-driven analytics. It sells hardware and software and offers professional and fully managed IT services, training, and a support portal. It differentiates itself with an end-to-end suite across many industries, a focus on security and ML-enabled insights, and ITIL-aligned managed services. Its goal is to help customers operate secure, reliable, and optimized networks across on-premises, cloud, and data center environments.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Morrisville, NC
Founded
1996

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