Senior Software Engineer (Generative AIMachine Learning) (10028, 10029) Seattle, WA Toronto, Canada
Senior Software Engineer (Generative AIMachine Learning) (10028, 10029) Seattle, WA Toronto, Canada
Posted on :
23-09-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
23-09-2025
Job Description
Over 50000 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 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.
Senior Software Engineer (GenAI ML):
Experience: 5 Years
Location: Seattle Washington/ Toronto Canada
Remote
Are you energized by the idea of innovating with Generative AI Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence Do you dream of building ground-breaking products that define the future of AI-driven network management Then come advance with us at Extreme.
This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI Machine Learning Big Data and Cloud Computing. You will help define every aspect of the user journey product vision and technical roadmap driving innovation from concept to delivery.
There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner Extreme is committed to a culture of diversity inclusion and equality where every employee thrives because of their differences not despite them.
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.
Job Responsibilities
Serve as a thought leader and forward thinker setting the technical vision and driving innovation across products and platforms. Shape long-term strategy by designing and launching strategic ML solutions that deliver company-wide impact.
Own and guide the full software development lifecycle at scale including architecture design testing deployment and operations. Lead technical discussions define best practices and ensure engineering rigor through design and code reviews.
Architect and deliver high-performance production-grade ML platforms and frameworks enabling next-generation real-time ML and Generative AI systems.
Partner with senior engineers scientists and cross-functional leaders to accelerate experimentation validation and model integration ensuring solutions are robust scalable and aligned with business goals.
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
Demonstrated ability to solve highly complex and ambiguous problems setting direction for others
Preferred Qualifications
MS or PhD in Computer Science Machine Learning or a related discipline
Experience with Graph ML and graph technologies such as GNNs or Graph RAG
Deep expertise with distributed Big Data technologies such as Spark Flink Kafka PySpark Lakehouse Druid Hudi or Glue
Track record of mentoring engineers and influencing cross-team initiatives
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 50000 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 Extremeswebsiteor 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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
