aimlroles

Senior Data Scientist-Gen AI, Machine Learning (10483)

Extreme Networks extremenetworks.com Open · verified Oct 22, 2026
Hybrid Toronto Full-time Senior AI Research

At a glance

Senior AI Research role at Extreme Networks. Toronto · full-time · no salary stated · we estimate CA$151,100–CA$175,975 across Canada.

Estimated pay

Extreme Networks has not published a salary for this role. The figure below is our estimate, not theirs.

CA$151,100 – CA$175,975
What the middle half of senior AI research roles in Canada paid, among postings that did state a salary.
Worked out from 14 postings that stated pay, median CA$161,875. Last updated Oct 19, 2026.
RoleAI Research
SenioritySenior
LocationToronto
WorkplaceHybrid
EmploymentFull-time
PostedSep 30, 2025 · 1y ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Set the longer-range direction for data science and machine learning, shaping product choices and organizational priorities
  • Lead applied research in machine learning, generative AI and graph learning, then establish practices for putting it into use at scale
  • Align research with engineering and product leaders so business needs inform platform and infrastructure decisions
  • Guide staff and senior scientists, establish technical direction, and build strong standards across the team
  • Share work through publications, talks and collaborations to raise the organization’s profile in AI and machine learning

What you bring

  • A degree in computer science, mathematics or a related discipline
  • At least eight years applying machine learning research and deploying it in production
  • Three or more years building production generative AI, such as RAG, AI agents or LLM fine-tuning
  • Production experience with graph learning and graph systems, plus ownership of ML design, testing, launch and scaling

Who this fits

This senior role suits someone ready to set technical strategy, guide experienced scientists and work across research, engineering and product. You’ll also need to turn complex, unclear problems into measurable business results. The position is based in Toronto and is hybrid.

From the employer

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