Principal Machine Learning Engineer

Extreme Networks

AI Senior Principal Machine Learning Engineer creating innovative solutions for AI-driven network management at Extreme Networks. Leading end-to-end software development lifecycle in a diverse and inclusive environment.

Posted 7/28/2026full-timeRemote • Washington • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning solution design and implementation, with a strong focus on building scalable systems and leading engineering teams. Proficient in the software development lifecycle, including coding, testing, and deployment, while fostering a culture of innovation and technical excellence.

Highest-signal resume keywords

Machine Learning Solution DesignPython ProgrammingCloud Platform ArchitectureDistributed Systems EngineeringTeam Leadership and Mentorship

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Development LifecycleMachine Learning Code DevelopmentCode ReviewTesting and DeploymentDistributed Data Technologies

Soft Skills

Thought LeadershipProblem SolvingTeam Culture Development

Tools & Technologies

AWSAzureGoogle CloudMapReduceSparkFlinkKafkaPySparkSageMaker

Industry Keywords

Technical RigorOperational ExcellenceScalable Systems

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsJavaKafkaMapReducePySparkPythonSpark

About the role

Key responsibilities & impact

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, production-ready machine learning code for our next-generation real-time ML platform. Extend existing ML libraries and frameworks.
Working closely with other engineers and scientists, lead solutions to accelerate model development, validation and experimentation cycles, and integrate models and algorithms in production systems at a very large scale.
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

What you’ll need

Degree in mathematics/computer science or related discipline.
12+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations.
7+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java.
5+ years of experience in leading the design and architecture of large distributed systems preferably on cloud platforms (e.g., AWS, Azure, Google Cloud).
Experience working with distributed data and ML technologies (e.g. MapReduce, Spark, Flink, Kafka, PySpark, SageMaker etc.).
Experience as a mentor, tech lead or leading an engineering team.
Adept at tackling highly complex, ambiguous or undefined problems.

Benefits

Comp & perks

We encourage people from underrepresented groups to apply.
Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities