Staff/Principal Machine Learning Engineer -Gen AI, Machine Learning, Graph ML, Big Data(10030)
Hybrid United States Full-time Senior Machine Learning Engineering
At a glance
Senior Machine Learning Engineering role at Extreme Networks. United States · full-time · $170,000–$240,000 base.
SalaryStated by Extreme Networks
$170,000 – $240,000
Base salary for this role, in USD per year, as published in the posting.
RoleMachine Learning Engineering
SenioritySenior
LocationUnited States
WorkplaceHybrid
EmploymentFull-time
Base pay$170,000–$240,000
PostedJun 10, 2025 · 1y ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Shape ML direction for products and platforms, then design and deliver strategic solutions
- Lead software delivery from design through deployment and operations, while contributing to reviews and implementation
- Build scalable microservices and real-time inference for complex models using Triton, TensorRT and mixed precision
- Set technical direction, mentor engineers, and improve system resilience and engineering operations
What you bring
- A degree in mathematics, computer science or a related discipline
- Five to ten years across software development, including design, coding, testing, deployment and operations
- Five to ten years of advanced Python experience, plus hands-on REST API design
- At least three years architecting large distributed systems, with experience mentoring or leading engineers
Who this fits
This senior role suits a hands-on technical leader who can guide architecture and mentor engineers while contributing to design, reviews and implementation. The position is hybrid in the United States. The stated salary range is USD 170,000 to 240,000 per year.
From the employer
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
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.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.