The Role
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
Extreme Networks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Extreme Networks and has not been reviewed or approved by Extreme Networks.
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Flexible Benefits — Flexible work options and time‑off policies are emphasized through a 'Flex First' model with remote/hybrid choices and flexible or unlimited PTO. Wellness programs, volunteer time, and family leave round out a broad, adaptable package.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, including medical, dental, vision, mental health, and HSA eligibility. U.S. high‑deductible plans include a company HSA contribution, strengthening the financial value of coverage.
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Equity Value & Accessibility — Equity participation is accessible via RSUs and an ESPP that enables discounted stock purchases. Variable pay and equity components can materially lift total compensation when business performance is strong.
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The Company
What We Do
Extreme Networks, Inc. (EXTR) is a leader in cloud networking focused on delivering services that connect devices, applications, and people in new ways. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
