Extreme Networks is hiring a Senior Data Scientist to lead generative AI and machine learning research and strategy within its AI Core group. The role involves building production-grade LLM, RAG, and Graph ML systems to power intelligent network management products. Candidates must have 8+ years of applied ML experience and 3+ years with generative AI solutions.
- Remote scope
- Hybrid work based in Toronto, Canada
What you need
- Degree in Computer Science, Mathematics, or a related field
- 8+ years of experience in applied ML research and production deployment
- 3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production
- Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production
- Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
What you will own
- Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities
- Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption
- Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments
- Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation
- Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and ML
Core skillsGenerative AIMachine LearningLLM Fine-tuningGraph MLPythonCloud PlatformsRAGAI Agents
Senior Data Scientist – (Gen AI, Machine Learning):
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, and you will drive 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
Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities
Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption
Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments
Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation
Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and ML
Requirements:
Degree in Computer Science, Mathematics, or a related field
8+ years of experience in applied ML research and production deployment
3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production
Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production
Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems
Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact
Preferred Qualifications
MS or PhD in Computer Science, Machine Learning, or a related discipline
Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse
Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks
Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment
