Principal Data Scientist (10042) | Seattle, WA | San Jose, CA | Salem, NH | Raleigh, NC at Extreme Networks

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, Cloud Computing, Artificial IntelligenceIndustries

Requirements

Degree in Computer Science, Mathematics, or a related field
8+ years of experience in applied ML research and production deployment
3+ years of hands-on experience building Generative AI solutions
Experience with Graph ML and Graph technologies such as GNNs or GraphRAG
Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems
Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact
Preferred Qualifications:
MS or PhD in Computer Science, Machine Learning, or a related discipline
Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse
Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks

Responsibilities

Define and drive the long-term data science and ML strategy
Influence product direction and organizational priorities
Lead high-impact research initiatives in ML, GenAI, and Graph ML
Establish best practices for scalable adoption
Partner with engineering and product leadership to align data science innovation with business goals
Mentor and guide staff- and senior-level scientists
Foster a culture of excellence and innovation
Represent the organization externally through publications, talks, and collaborations

Skills

Key technologies and capabilities for this role

Generative AIMachine LearningBig DataCloud ComputingData MiningAnomaly DetectionLLM Fine-tuningGraph MLAI AgentsRAG

Questions & Answers

Common questions about this position

What experience level is required for this Principal Data Scientist role?

The role requires 8+ years of experience in applied ML research and production deployment, plus 3+ years of hands-on experience building Generative AI solutions in production.

What are the key technical skills needed for this position?

Key skills include experience with Generative AI solutions like RAG, AI Agents, or LLM fine-tuning; Graph ML and technologies such as GNNs or GraphRAG; and deploying ML systems on cloud platforms like AWS, Azure, or GCP.

What is the location for this Principal Data Scientist job?

The job is based in Seattle, WA; San Jose, CA; Salem, NH; or Raleigh, NC. Remote work policy is not specified.

What is the company culture like at Extreme Networks?

Extreme Networks is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences. Innovation is expected, and the company fosters excellence through mentoring and guiding scientists.

What makes a strong candidate for this role?

A strong candidate has a degree in Computer Science, Mathematics, or related field, a proven track record of end-to-end ownership of ML systems from design to scaling, and experience leading research in ML, GenAI, and Graph ML.

Extreme Networks

Provides advanced networking solutions and services

About Extreme Networks

Extreme Networks specializes in advanced networking solutions that optimize and secure network operations for a variety of clients, including educational institutions, retail businesses, government agencies, and healthcare facilities. Their products include network infrastructure such as switching and routing solutions, wireless connectivity, and data center fabrics, along with cloud-based services and advanced security measures. Extreme Networks differentiates itself by offering both hardware and software solutions, as well as professional and managed services that ensure efficient network operations. Their goal is to provide comprehensive support and training to help clients maximize their networking capabilities.

Morrisville, North CarolinaHeadquarters

1996Year Founded

$16.8MTotal Funding

IPOCompany Stage

Government & Public Sector, Enterprise Software, Cybersecurity, EducationIndustries

1,001-5,000Employees

Benefits

Competitive pay

Comprehensive healthcare

HSA

Life & disability insurance

Retirement plans

Employee stock purchase program

Tuition reimbursement

PTO

Wellness programs

Risks

Securities fraud lawsuit may damage Extreme Networks' reputation and investor confidence.

Complexity of AI integration could hinder adoption of Extreme Platform ONE.

Stiff competition in cybersecurity market may affect ZTNA solution's market share.

Differentiation

Extreme Networks offers AI-powered platformization with Extreme Platform ONE.

The company provides comprehensive networking solutions, including cloud and security integration.

Extreme Networks serves diverse industries, from education to healthcare and government.

Upsides

Growing demand for AI-driven network management boosts Extreme Networks' market potential.

Expansion of 5G networks increases need for advanced networking solutions.

Rising adoption of cloud-based solutions enhances Extreme Networks' scalability and flexibility.

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