Principal Machine Learning Engineer

🕒 July 28

☕ Washington – Remote

☕ Washington – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Extreme Networks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

📡 Telecommunications

🏢 Enterprise

🔐 Security

Telecommunications • Enterprise • Security

Extreme Networks is a global leader in cloud networking solutions. The company specializes in providing wired and wireless LAN infrastructure, network security, and cloud-based network management services. Their products and solutions, such as ExtremeCloud™ IQ and Network Fabric, are designed to simplify IT operations through automation and intelligent management. Trusted by more than half of the Fortune 50 companies, Extreme Networks helps organizations securely connect devices and applications, improve operational efficiency, and enhance customer experiences. The company is recognized for its leadership in the Gartner Magic Quadrant™ for Wired and Wireless LAN Infrastructure.

📋 Description

• 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

• 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

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