Staff Data Scientist (10030)

Extreme Networks; Vaughan; On-site; CAD 100,000 - 150,000; Full time

Job summary

A leading technology firm in Canada is seeking a Staff Data Scientist to innovate with Generative AI and Machine Learning. In this role, you will shape ML strategy, mentor teams, and lead R&D of cutting-edge solutions. The ideal candidate has over 5 years of experience in ML and a degree in a relevant field. This position offers an exciting opportunity to influence the future of AI-driven network management.

Qualifications

• 5+ years of experience researching and delivering ML solutions in production.
• Hands-on experience building Generative AI solutions in production.
• Strong background across the full SDLC: design, coding, reviews, testing, deployment, and operations.

Responsibilities

• Shape long-term ML strategy and drive innovation across products and platforms.
• Lead research and development of novel ML and GenAI techniques.
• Mentor engineers and scientists, fostering a culture of technical excellence.

Skills

Machine Learning

Generative AI

Graph ML

Problem Solving

Education

Degree in Computer Science, Mathematics, or a related field

MS/PhD in Computer Science, Machine Learning, or a related discipline

Tools

AWS

Azure

GCP

Spark

Flink

Job description

Overview

Staff 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

• Serve as a thought leader, shaping long-term ML strategy and driving innovation across products and platforms
• Lead research and development of novel ML, GenAI, and Graph ML techniques, and translate cutting-edge research into scalable production systems
• Guide end-to-end solution development including model design, experimentation, validation, deployment, and operations at scale
• Mentor engineers and scientists, fostering a culture of technical excellence and cross-functional collaboration
• Extend ML libraries, frameworks, and infrastructure to accelerate experimentation and production integration

Requirements

• Degree in Computer Science, Mathematics, or a related field
• 5+ years of experience researching and delivering ML solutions in production
• Hands-on experience building Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning in production
• Experience developing Graph ML and Graph technologies such as GNNs and GraphRAG
• Strong background across the full SDLC: design, coding, reviews, testing, deployment, and operations
• Experience with large-scale distributed systems on cloud platforms (AWS, Azure, GCP)
• Proven ability to tackle complex, ambiguous, high-impact problems

Preferred Qualifications

• MS/PhD in Computer Science, Machine Learning, or a related discipline
• Experience with distributed Big Data technologies such as Spark, Flink, Kafka, PySpark, Lakehouse, Hudi, Druid, and Glue