Senior Data Scientist-Gen AI, Machine Learning (10042)
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
Skills
As published by lever · 12 questions
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, Current Location - City/State/Country URL, LinkedIn URL, GitHub URL, Portfolio URL, Other website
Short answers (2)
- What is your target salary range in USD? (write-in option) optional
- If yes, where in the US do you currently live? (City, State)
Pick from a list (10)
- If the position you are applying for is in the United States, are you authorized to work lawfully in the United States for Extreme Networks, Inc.?
- Do you now, or will you in the future, require sponsorship for employment visa status (e.g., H-1B visa status) to work legally for Extreme Networks, Inc. in the United States?
- How did you hear about this position? optional
- What is your expected total compensation in USD, including On Target Earnings (OTE)? Please provide a specific amount and avoid using ‘TBD’ or ‘negotiable’.”
- Have you previously worked for Extreme Networks?
- Are you related to anyone at Extreme Networks?
- Are you currently employed with an Extreme customer, partner, reseller or distributor?
- Do you currently live in the United States?
- US Citizenship optional
- Green Card Holder optional