Extreme Networks

4 weeks ago

Senior Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead the design and development of Gen AI and ML platforms, building scalable distributed systems in the cloud. Collaborate on ML research and production-grade deployments, mentor junior engineers, and ship API-driven services that power network intelligence.

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead the design and implementation of Gen AI, ML, Graph ML and big data initiatives, delivering scalable solutions.
•Design and develop RESTful APIs and services using FastAPI, Docker, and Kubernetes.
•Architect and mentor distributed systems on cloud platforms (AWS/Azure/GCP).
•Mentor, lead and collaborate with engineering teams to drive delivery and quality.
•Define and optimize CI/CD pipelines and deployment processes for ML workloads.

Pay and Benefits

Salary: USD 110,000 - 160,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceFlexible WorkEquityEmployee AssistanceRrsp MatchingPaid Leave

Key Requirements

•Degree in mathematics/computer science or related discipline.
•4+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
•4+ 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.

Experience:4+ yearsGen AIMLBig DataCloudDistributed systemsPythonRESTful APIsFastAPI

Education:Bachelor's

Skills:CommunicationLeadershipMentoringProblem-solving

Languages:English

Tech Stack:PythonFastAPIDockerKubernetesCI/CDAWSAzureGoogle CloudPyTorchSagemakerTritonTensorRT

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: 3.6

Website LinkedIn

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Extreme Networks

4 weeks ago

Senior Machine Learning Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Lead the design and implementation of Gen AI, ML, Graph ML and big data initiatives, delivering scalable solutions.
•Design and develop RESTful APIs and services using FastAPI, Docker, and Kubernetes.
•Architect and mentor distributed systems on cloud platforms (AWS/Azure/GCP).
•Mentor, lead and collaborate with engineering teams to drive delivery and quality.
•Define and optimize CI/CD pipelines and deployment processes for ML workloads.

Pay and Benefits

Salary: USD 110,000 - 160,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceFlexible WorkEquityEmployee AssistanceRrsp MatchingPaid Leave

Key Requirements

•Degree in mathematics/computer science or related discipline.
•4+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
•4+ 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.

Experience:4+ yearsGen AIMLBig DataCloudDistributed systemsPythonRESTful APIsFastAPI

Education:Bachelor's

Skills:CommunicationLeadershipMentoringProblem-solving

Languages:English

Tech Stack:PythonFastAPIDockerKubernetesCI/CDAWSAzureGoogle CloudPyTorchSagemakerTritonTensorRT

Company Brief

Extreme Networks

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: 3.6

Website LinkedIn