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Jobs(30,244)/Machine Learning Engineer Role(356)/Extreme Networks (1) - AI Principal Machine Learning Engineer (10189)
Extreme Networks

Extreme Networks - AI Principal Machine Learning Engineer (10189)

Seattle, Washington, United States$170k - $240k+ Equity1mo ago
In OfficePrincipalNACloud ComputingArtificial IntelligenceMachine Learning EngineerPrincipalDockerKubernetesPythonFastAPIAWS

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. • Proficient in Docker, Kubernetes, and modern CI/CD practices. • 3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud). • Experience as a mentor, tech lead or leading an engineering team. • 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. • Proven ability to handle big data, optimize workflows, and improve system performance. • Come work with a team of highly talented engineers, and advance with us to achieve new heights every day! • Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits. • Equal Employment Opportunity

Benefits

• Extreme Networks offers a comprehensive benefits package. Specific benefits vary by country and may include: • Medical, dental, and vision insurance • Flexible work schedules and work-from-home opportunities where role permits • Paid time off, including open time off in eligible markets and statutory leave in all markets • Paid holidays in accordance with local practice • Retirement savings programs, including 401K matching in the United States • Employee Stock Purchase Program, where eligible • Adoption assistance and fertility treatment support, where eligible • Flexible spending accounts, where eligible • Employee assistance program • Tuition reimbursement, where eligible • Life and disability insurance • Benefits eligibility is based on country of employment, role, and employment status. Complete benefits details will be provided during the interview process and in the formal offer of employment. • Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. 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! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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