Principal Machine Learning Engineer-Gen AI, Machine Learning, Graph ML (10189)

AI Senior Machine Learning Engineer

Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth yearover year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.

Become part of something big with Extreme! As a global networking leader, learn why there's no better time to join the Extreme team.

Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time. At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.

About the position:

• Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
• Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead technical discussions and strategy, and participate hands-on in design reviews, code reviews, and implementation.
• Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.
• Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.
• Mentor and develop other engineers on the team, establish technical direction and foster team culture.
• Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.

Basic Qualifications:

• 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.

Preferred Qualifications:

• 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

1. Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
2. Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.

Fair chance and background checks

• Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken.
• Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation.

$170,000 - $240,000 a year This role offers a market‑competitive salary with an anticipated base compensation range of 170,000 to 240,000 USD. Actual compensation will depend on the selected candidate's experience, qualifications, skills, and work location. The posted range reflects the amount Extreme Networks reasonably and in good faith expects to pay upon hire. This range is determined using objective, gender‑neutral criteria based on skills, experience, responsibility, and working conditions. In addition to base pay, this role is eligible for a performance‑based bonus and the full benefits package described below. Benefits and total rewards: 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.