Full Time Opportunity | Senior ML Engineer (Gen AI, Machine Learning) | Remote

Position: Staff ML Engineer (Gen AI, ML)

Location: Remote

Modality: Full Time

Senior ML Engineer (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, driving 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 and forward thinker by driving innovative vision across products and platforms, designing and launching strategic ML solutions, and delivering business-wide innovation

Lead the full software development lifecycle (design, testing, deployment, and operations), guide technical discussions and strategy, and actively participate in design reviews, code reviews, and implementation

Develop high-performance, production-ready ML code for next-generation real-time ML platforms, and extend existing ML libraries and frameworks

Collaborate closely with engineers and scientists to accelerate model development, validation, and experimentation cycles, and integrate models and algorithms into production systems at scale

Requirements

Degree in Computer Science, Mathematics, or a related field

8+ years of full SDLC experience (design, coding, reviews, testing, deployment, operations)

5+ years of experience building and deploying end-to-end ML solutions or platforms in production

Hands-on experience developing Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production

Experience with large-scale distributed systems on cloud platforms (AWS, Azure, GCP)

Strong ability to solve complex and ambiguous problems

Preferred Qualifications

MS/PhD in Computer Science, Machine Learning, or a related discipline

Experience with Graph ML and Graph technologies (e.g., GNNs, GraphRAG)

Experience with distributed Big Data technologies (e.g., Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue)