Staff/Principal Machine Learning Engineer, Generative AI
Real job — pulled straight from Extreme Networks’s careers page · Verified October 5, 2026 · No reposts.
Job description
Extreme Networks is hiring a Staff/Principal Machine Learning Engineer, Generative AI — a full-time, based in United States role ($170k–$240k). Apply directly on Extreme Networks's careers page below.
Staff/Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data(10030)
Team: Engineering
Location: United States
Commitment: Fulltime
Workplace Type: hybrid
About the position
- Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms, design and launch strategic machine learning (ML) solutions and drive business-wide innovation.
- Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations, lead 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.
Basic Qualifications:
- 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.
Preferred Qualifications:
- MS 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.
- Come work with a team of highly talented engineers, and advance with us to achieve new heights every day!
- Salary based on qualifications, experience and region up to USD 170 k to 240 K plus benefits.
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Frequently asked questions
What is the salary for Staff/Principal Machine Learning Engineer, Generative AI at Extreme Networks?
The estimated salary range for Staff/Principal Machine Learning Engineer, Generative AI at Extreme Networks is $170,000 - $240,000 USD per year.
What skills are required for Staff/Principal Machine Learning Engineer, Generative AI at Extreme Networks?
The required skills for Staff/Principal Machine Learning Engineer, Generative AI at Extreme Networks include: Machine Learning, Generative AI, Big Data, Python, FastAPI, Docker, Kubernetes, CI/CD, AWS, Azure, GCP, PyTorch, NoSQL, REST.
What is the seniority level for Staff/Principal Machine Learning Engineer, Generative AI at Extreme Networks?
Staff/Principal Machine Learning Engineer, Generative AI at Extreme Networks is a Staff / Principal level position.
How do I apply for Staff/Principal Machine Learning Engineer, Generative AI at Extreme Networks?
You can view the full description and apply for Staff/Principal Machine Learning Engineer, Generative AI at Extreme Networks on EchoJobs: https://echojobs.io/job/extreme-networks-staff-principal-machine-learning-engineer-gen-ai-machine-learning-graph-ml-big-data-10030-aqd0f.