---
title: 'Senior Data Scientist-Gen AI, Machine Learning (10483) at Extreme Networks'
canonical: 'https://feeny.ai/job/senior-data-scientist-gen-ai-machine-learning-10483-extreme-networks-toronto-49fnxsvwnazj'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Data Scientist-Gen AI, Machine Learning (10483) at Extreme Networks

- **Company:** Extreme Networks
- **Location:** Toronto, Canada
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-09-30
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.lever.co/extremenetworks/fe3b7c5c-f855-4993-ad85-f396379fe346

## Job description

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

## About Extreme Networks

## Company Overview
- **One-liner**: Extreme Networks is a publicly traded leader in AI-powered cloud networking, providing unified, secure, and simplified network solutions for enterprises.
- **Entity Type**: Public (NASDAQ: EXTR)
- **Headquarters**: Morrisville, North Carolina, United States
- **Founded**: 1996
- **Founders**: Stephen Haddock, Herb Schneider, Gordon Stitt

## Core Business
- **Primary industry**: Enterprise networking, cloud networking, and AI-driven network management.
- **Target customers**: B2B – mid-market to large enterprises, service providers, and public sector organizations globally.
- **Mission / purpose**: To push the boundaries of networking technology, making it simpler, faster, more agile, and secure – helping customers connect beyond the network and drive better outcomes.

## Products & Services
- **ExtremeCloud IQ**: Cloud-based network management platform with AI-driven analytics and automation (SaaS).
- **ExtremeXOS**: Modular network operating system for switches and routers.
- **ExtremeWireless**: Wi-Fi 6/6E/7 access points and controllers.
- **ExtremeSwitching**: Enterprise switches for campus, data center, and edge.
- **Extreme Fabric Connect**: Software-defined networking fabric for automated and secure connectivity.
- **ExtremeAnalytics**: Network analytics and visibility tools.
- **ExtremeRouting**: High-performance routers for WAN and edge.

## Market Standing
- **Valuation / Market Cap**: $1.9 billion (as of mid-2026)
- **Key Metric (Revenue)**: $1.3 billion annual revenue (FY2026); SaaS ARR of $244 million
- **Notable Investors / Partners**: Publicly traded with institutional investors; partners include major system integrators and channel resellers.
- **Growth Signals**: 4.0% YoY employee growth (2,300 people); over 3.3 million devices connected to the cloud; strong recurring revenue from SaaS; continued investment in AI and automation.

## Competitive Advantages
- **Unified, AI-driven platform** that combines networking, security, and analytics in a single cloud-native solution.
- **Over 25 years of enterprise networking expertise** with a large installed base and global support.
- **Strong focus on automation and self-driving networks** reduces operational complexity for IT teams.
- **Open architecture and integration** with major cloud providers and third-party ecosystems.

## Strategic Focus
- **AI and automation**: Embedding AI/ML across the portfolio to enable proactive, self-healing networks.
- **Cloud-first approach**: Driving adoption of ExtremeCloud IQ and expanding SaaS offerings.
- **Security convergence**: Integrating network security (e.g., micro-segmentation, zero-trust) directly into the networking stack.
- **Edge and wireless innovation**: Advancing Wi-Fi 7 and private 5G capabilities.

## Why Work Here
- **Culture**: Core values include Teamwork, Transparency, Candor, Curiosity, Ownership, and Inclusion. Multiple Employee Resource Groups (ERGs) foster an inclusive environment.
- **Work model**: Hybrid/remote-friendly offices in Morrisville (HQ), Salem (NH), Markham (Canada), and San Jose (CA) – roles vary by team.
- **Benefits**: Comprehensive compensation and benefits package supporting physical, emotional, and financial health.
- **Engineering culture**: Opportunity to build next-generation AI-driven, self-driving networks; work with big data, machine learning, and cloud technologies.
- **Early career programs**: Internships and development programs for university students and recent graduates.
- **Employer rating**: 3.9/5.0 on LinkedIn (1,184 reviews) with strong work-life balance (4.0) and culture (3.9).

## Sources
1. [LinkedIn Company Page](https://linkedin.com/company/extreme-networks)
2. [Extreme Networks Careers Page](https://www.extremenetworks.com/about-extreme-networks/career)
3. [Extreme Networks Company Page](https://www.extremenetworks.com/about-extreme-networks/company)
4. [Extreme Networks Investor Relations](https://investor.extremenetworks.com/overview/default.aspx)
5. [Extreme Networks Lever Careers](https://jobs.lever.co/extremenetworks)

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