AI Principal Machine Learning Engineer (10189)

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.

Equal Employment Opportunity

• Extreme Networks, Inc. is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to taking affirmative action to employ and advance in employment qualified protected veterans, including disabled veterans, recently separated veterans, active-duty wartime or campaign badge veterans, and Armed Forces service medal veterans.
• Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (for example, stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. We encourage people from underrepresented groups to apply.

Fair chance and background checks

Extreme Networks will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act, Los Angeles Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance for Employers, Philadelphia Fair Criminal Record Screening Standards Ordinance, Illinois Human Rights Act, Cook County Human Rights Ordinance, Seattle Fair Chance Employment Ordinance, and the San Francisco Fair Chance Ordinance. An applicant's conviction history will not be considered until after a conditional offer of employment has been made. Following any individualized assessment, applicants will be provided with the opportunity to respond before any adverse action is taken.

Extreme Networks does not seek salary history information from applicants and will not rely on salary history in determining whether to offer employment or in setting compensation.