Lead strategy and research for Generative AI and Graph ML, drive end-to-end ML system design and production deployments, mentor scientists, align ML innovation with product goals, and represent the company externally.
Principal 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
Extreme Networks Ontario, CAN Office
55 Commerce Valley Drive West, Suite 300 , ON , Canada, L3T 7V9
Extreme Networks Markham, Ontario, CAN Office
55 Commerce Valley Dr W, Markham, Ontario, Canada, L3T 7V9
Similar Jobs
Artificial Intelligence • HR Tech • Information Technology • Machine Learning • Software • App development • Industrial
The Staff Software Engineer will own user-facing product areas, lead initiatives across frontend and backend, and mentor team members to enhance product quality and engineering standards.
Top Skills:
JavaScriptPythonReactReact Native
Artificial Intelligence • HR Tech • Information Technology • Machine Learning • Software • App development • Industrial
You will own frontend systems, lead initiatives in UX and performance, uphold standards, and mentor engineers to enhance quality.
Top Skills:
JavaScriptReactReact Native
Gaming
The Ad Operations Manager will optimize in-app monetization, manage ad networks, troubleshoot integrations, and lead ad quality initiatives.
Top Skills:
Charles Proxy
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
