AI Staff Machine Learning Engineer (AI Engineering): Pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning with an accent on building intelligent, high-performance multi-agent systems. Focus on designing and launching strategic machine learning (ML) solutions and driving business-wide innovation.Location: San Jose, California, United States. Hybrid/RemoteSalary: $170,000 - $240,000 a yearCompanyExtreme Networks creates effortless networking experiences that enable all of us to advance.What you will doLead technical discussions and strategy, and participate hands‑on in design reviews, code reviews, and implementation.Craft high-performance, high-scale microservices architectures, including synchronous and asynchronous web services.Develop real-time online inferencing for highly complex models using Triton, TensorRT and mixed precision computing.Mentor and develop other engineers on the team, establish technical direction and foster team culture.Uphold the highest standards of technical rigor in engineering and operational excellence, build highly resilient and scalable systems, and champion operational and process improvements.
Requirements
Degree in mathematics/computer science or related discipline.5 to 10 years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.5 to 10 years of experience in Python with an in-depth knowledge of its advanced features and libraries.Expertise in designing RESTful APIs with hands‑on experience with technologies such as FastAPI.Proficient in Docker, Kubernetes, and modern CI/CD practices.3+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).Experience as a mentor, tech lead or leading an engineering team.Nice to haveMS or PhD in Computer Science or equivalent experience in ML.Experience working with ML technologies (PyTorch, Sagemaker, Triton, TensorRT, etc.).Experience with NoSQL and document databases.Proven ability to handle big data, optimize workflows, and improve system performance.Culture & BenefitsTeam of highly talented engineers.
