Senior Machine Learning Engineer (10187)

Extreme Networks
Seattle
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Technical leadership","Problem-solving","Cross-functional collaboration","Engineering rigor","Innovation leadership"]

Design and deliver production-grade machine learning platforms for next-generation real-time ML and generative AI systems. Set technical vision, define best practices, and lead engineering rigor across the full software development lifecycle. Partner with engineers and scientists to accelerate experimentation, validation, and model integration—driving scalable ML solutions across Extreme’s AI Core group and network management products.

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FursaFursa
Extreme Networks
Extreme Networks
5 months ago

Senior Machine Learning Engineer (10187)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Design and deliver production-grade machine learning platforms for next-generation real-time ML and generative AI systems. Set technical vision, define best practices, and lead engineering rigor across the full software development lifecycle. Partner with engineers and scientists to accelerate experimentation, validation, and model integration—driving scalable ML solutions across Extreme’s AI Core group and network management products.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Serve as a thought leader to set technical vision and drive innovation across products and platforms, including long-term ML strategy.
  • •Own and guide the full software development lifecycle at scale: architecture, design, testing, deployment, and operations.
  • •Architect and deliver high-performance, production-grade ML platforms and frameworks for real-time ML and generative AI systems.
  • •Lead technical discussions, define best practices, and ensure engineering rigor through design and code reviews.
  • •Partner with senior engineers, scientists, and cross-functional leaders to accelerate experimentation, validation, and model integration.

Pay and Benefits

Salary: USD 170,000

Key Requirements

  • •Degree in Computer Science, Mathematics, or a related field.
  • •5+ years of experience across the full SDLC: design, coding, reviews, testing, deployment, and operations.
  • •5+ years of experience architecting and deploying end-to-end ML solutions in production environments.
  • •Proven expertise developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning at scale.
  • •Strong background in building and operating large-scale distributed systems on cloud platforms such as AWS, Azure, or GCP.
Experience:5+ yearsGenerative AIMachine learningBig DataCloud networkingDistributed systems
Education:Bachelor's in Computer Science, Mathematics (or related field)
Skills:Technical leadershipProblem-solvingCross-functional collaborationEngineering rigorInnovation leadership
Tech Stack:Generative AIMachine LearningBig DataCloud ComputingRAGAI AgentsLLM fine-tuningAnomaly DetectionMulti-agent systemsAWSAzureGCPGraph MLGNNsGraph RAGSparkFlinkKafkaPySparkLakehouse

Company Brief

Extreme Networks
Provides wired and wireless network infrastructure, cloud-driven network management, and analytics for enterprises and service providers, delivering switching, routing, security, and access solutions.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1996
Glassdoor
Glassdoor: 3.6
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