AI Senior Machine Learning Engineer -Gen AI Machine Learning Graph ML 10189

Extreme Networks Inc

San Jose, CA

JOB DETAILS
SALARY
$170,000–$240,000 Per Year
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Automation, Big Data, Cloud Computing, Code Reviews, Computer Science, Continuous Deployment/Delivery, Continuous Integration, DNA, Data Mining, Distributed Computing, Docker, Extreme Network Systems, Facebook, Knowledge Base, Leadership, LinkedIn, Machine Learning, Mathematics, Mentoring, Microservices, Microsoft Windows Azure, Network Administration/Management, NoSQL, Operational Improvement, Operations Processes, Performance Management, Process Improvement, Python Programming/Scripting Language, Quality Assurance Methodology, REST (Representational State Transfer), Scalable System Development, Software Development Lifecycle (SDLC), System Architecture, System Operations, Team Lead/Manager, Technical Leadership, Technical Operations, Technical Strategy, Test Design, Thought Leadership, Web Services
LOCATION
San Jose, CA
POSTED
30+ days ago

AI Senior Machine Learning Engineer - Gen AI Machine Learning Graph ML 10189 San Jose, California, United States

Products - Engineering Fulltime Remote Apply for this job

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 year over year, no provider is better positioned to deliver scalable outcomes than Extreme.

Inclusion is one of our core values and is 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 theres no better time to join the Extreme team.

Position: AI Staff Machine Learning Engineer - Gen AI

Experience: 5 to 14 Years Hybrid Remote

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, helping 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 CICD 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, such as PyTorch, Sagemaker, Triton, TensorRT, etc.
  • Experience with NoSQL and document databases.
  • Proven ability to handle big data, optimize workflows, and improve system performance.

Salary: Based on qualifications, experience, and region, up to USD 170,000 to 240,000 per year, plus benefits.

About Extreme Networks Inc. (EXTR):

Extreme Networks Inc. 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 Extremes website or follow us on Twitter, LinkedIn, and Facebook.

We Encourage Diversity:

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.

Artificial Intelligence Tools:

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Apply for this job.

About the Company

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Extreme Networks Inc

Extreme Networks provides high-performance, open networking innovations for enterprises, services providers, and internet exchanges. With the acquisition of Enterasys Networks, together we have become one of the largest networking companies in the world.

COMPANY SIZE
1,500 to 1,999 employees
INDUSTRY
Computer/IT Services
FOUNDED
1996
WEBSITE
http://www.extremenetworks.com/