Posted 13 months ago
Senior Data Scientist-Gen AI, Machine Learning (10483)
@ Extreme Networks
Toronto, Ontario
Overview
Extreme Networks is hiring a Senior Data Scientist for Generative AI and Machine Learning to define the long-term data science and ML strategy for AI-driven network management. The role leads applied research in ML, GenAI and Graph ML, partners with engineering and product leadership, and mentors senior scientists. Full-time, with the posting not stating a location, schedule or pay.
Responsibilities:
- Define long-term data science and ML strategy
- Lead research in ML, GenAI and Graph ML
- Partner with engineering and product leadership
- Mentor staff and senior scientists
- Represent the organization externally
Requirements summary:
- Degree in computer science, mathematics or related field
- 8+ years of applied ML research and production deployment
- 3+ years building GenAI solutions in production
- Experience with Graph ML, GNNs or GraphRAG
- Experience deploying on AWS, Azure or GCP
Tools & skills
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2025-09-30
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Data & analytics |
| Experience | 8+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Education | Bachelor’s degree (required), Master’s degree (preferred), Doctorate (preferred) |
| Fields of study | Computer Science, Mathematics, Machine Learning |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Extreme Networks
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We go to extremes for you.
Full company description
Extreme Networks, Inc. (EXTR) is a leader in AI-powered cloud networking, delivering a unified platform that simplifies and secures IT operations. Our solutions help businesses address challenges and enable connections among devices, applications, and users. We push the boundaries of technology, leveraging the powers of artificial intelligence, analytics, and automation. Trusted by thousands of customers globally, our AI-powered cloud networking solutions and industry-leading support enable businesses to drive value, foster innovation, and overcome extreme challenges. For more information, visit Extreme's website at www.extremenetworks.com or follow us on LinkedIn, YouTube, X/Twitter, Facebook, or Instagram.
- LinkedIn followers
- 199,062
- People associated on LinkedIn
- 4,030
- Reported office locations
- 2121 RDU Center Drive, Suite 300, Morrisville, NC 27560, US
- 6480 Via Del Oro, San Jose, CA 95119, US
- 9 Northeastern Blvd, Salem, NH 03079, US
- 55 Commerce Valley Dr W, Markham, Ontario L4B, CA
- Business categories
- Information Technology
- Snack Food
- Network Hardware
- Consulting
- Food Delivery
- Software
- Internet of Things
- Food and Beverage
- Communication Hardware
- Computer
- Other recorded names
- Extreme Networks
- Specialties
- Switching
- Wireless
- Security
- Cloud Management
- Network Management
- Data Center
- Application Analytics
- Access Points
- Wi-Fi
- Routing
- Network Visibility
- Wi-Fi 6
- Edge Computing
- Cloud Computing
- Cloud
- and Network Automation
- Profile identifies a recruitment agency
- No
- Reported total investment
- 17,300,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Extreme Networks, Inc. (EXTR) is a leader in AI-powered cloud networking, delivering a unified platform that simplifies and secures IT operations. Our solutions help businesses address challenges and enable connections among devices, applications, and users. We push the boundaries of technology, leveraging the powers of artificial intelligence, analytics, and automation. Trusted by thousands of customers globally…
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 1,001-5,000 employees |
| Headquarters | Morrisville, NC |
| Organization type | Public Company |
| Year founded | 1996 |
| Specialties | SwitchingWirelessSecurityCloud ManagementNetwork ManagementData CenterApplication AnalyticsAccess PointsWi-FiRouting |
| Open jobs on Jobsy | 7 |
| View page |
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
Journal
Only you can see this. Kept on this device, and in your account when you sign in.