AI Principal Machine Learning Engineer (10026)
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
AI Principal Machine Learning Engineer (Gen AI Big Data):
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
- Provide technical leadership and vision for large-scale distributed systems ML platforms and next-generation data infrastructure
- Lead the design architecture and delivery of end-to-end solutions across the full SDLC spanning development testing deployment and operations
- Drive innovation in Big Data Generative AI and Graph ML by translating emerging technologies into production-ready solutions
- Architect scalable microservices and real-time inferencing systems leveraging modern ML infrastructure such as AI Agents MCP ML Inference and LLM Gateway
- Mentor and grow engineering teams set technical direction and foster a culture of engineering rigor collaboration and operational excellence
- Champion best practices for building resilient secure and high-performance systems optimized for scale and reliability
Requirements
- Degree in Computer Science Mathematics or a related field
- 10 years of experience across the full software development lifecycle including design coding reviews testing deployment and operations
- 5 years of experience with distributed Big Data and ML platforms such as Spark Lakehouse Debezium Kafka Flink or Hudi
- Hands-on experience building Generative AI solutions such as RAG AI Agents and LLM fine-tuning in production
- Experience working with Graph ML and Graph technologies such as GNNs
- Strong track record of end-to-end solution ownership from design through production scaling
- 5 years of experience deploying large-scale solutions on cloud platforms such as AWS Azure or GCP
- Proven 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 sensitive or streaming data pipelines including real-time compliance and governance controls
- Salary based on qualifications experience and region up to USD 170000 plus benefits.
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
- Design
- Academics
- AutoCAD 3D
- Cafe
- Fabrication
- Java
About Company
We provide networking solutions to power your business. Our flexible and scalable cloud networking services help optimize your network infrastructure.
