AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data(10030)
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.
Skills Required
- Degree in mathematics/computer science or related discipline
- 5+ years of experience in software development lifecycle
- 5+ years of experience in Python
- Expertise in designing RESTful APIs
- Proficient in Docker and Kubernetes
- 3+ years of experience in leading designs of distributed systems on cloud platforms
- Experience as a mentor or tech lead
Extreme Networks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Extreme Networks and has not been reviewed or approved by Extreme Networks.
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Flexible Benefits — Flexible work options and time‑off policies are emphasized through a 'Flex First' model with remote/hybrid choices and flexible or unlimited PTO. Wellness programs, volunteer time, and family leave round out a broad, adaptable package.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, including medical, dental, vision, mental health, and HSA eligibility. U.S. high‑deductible plans include a company HSA contribution, strengthening the financial value of coverage.
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Equity Value & Accessibility — Equity participation is accessible via RSUs and an ESPP that enables discounted stock purchases. Variable pay and equity components can materially lift total compensation when business performance is strong.
Extreme Networks Insights
What We Do
Extreme Networks, Inc. (EXTR) is a leader in cloud networking focused on delivering services that connect devices, applications, and people in new ways. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.






