Principal Data Scientist (10042)
Share
Job Location:
San Jose, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Principal 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 companys 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
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Staff IC
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
About Company
We provide networking solutions to power your business. Our flexible and scalable cloud networking services help optimize your network infrastructure.
