Staff Data Scientist (10030) Thornhill, Toronto, ON chez Extremenetworks

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

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