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Extreme is looking to innovate with Generative AI to create global impact and build ground-breaking products that define the future of AI-driven network management. 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.

Requirements

• 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
• Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse

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

Other

• Degree in Computer Science, Mathematics, or a related field
• MS or PhD in Computer Science, Machine Learning, or a related discipline
• 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