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Principal Machine Learning Engineer

1 month ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
Apache Spark AWS Azure Flink GCP Generative AI Java Kafka Machine Learning MapReduce NLP Python PyTorch
Apply Now
Extreme Networks

Extreme Networks

Extreme Networks is a global leader in cloud-driven networking solutions, delivering innovative services to optimize network infrastructure and user experiences.

IT Services
1K-5K
Founded 1996
View All Jobs 63

Description

  • Define and drive an innovative machine learning vision across products and platforms.
  • Lead the end-to-end software development lifecycle, including design, testing, deployment, and operations.
  • Write production-ready machine learning code for a real-time ML platform.
  • Extend existing machine learning libraries and frameworks.
  • Work with engineers and scientists to speed up model development, validation, experimentation, and production integration.
  • Build and integrate models and algorithms into large-scale production systems.
  • Mentor and develop engineers while establishing technical direction and team culture.
  • Maintain high standards for technical rigor, operational excellence, reliability, and scalability.
  • Champion operational and process improvements.

Requirements

  • 12 to 18 years of experience overall.
  • 12+ years of experience in the complete software development lifecycle.
  • 7+ years of programming experience with proficiency in Python or Java.
  • 5+ years of experience leading the design and architecture of large distributed systems, preferably on cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with distributed data and ML technologies such as MapReduce, Spark, Flink, Kafka, PySpark, and SageMaker.
  • Experience as a mentor, tech lead, or engineering team lead.
  • Degree in mathematics, computer science, or a related discipline.
  • MS or PhD in Computer Science, or equivalent ML experience, preferred.
  • Experience working with real-world large-scale datasets, preferred.
  • Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning, and deployment of large models, preferred.
  • Prior experience developing ML optimization techniques in PyTorch and CUDA, preferred.
  • Ability to tackle highly complex, ambiguous, or undefined problems.

Benefits

  • Opportunity to work on a greenfield project with significant ownership.
  • Work on cutting-edge AI, ML, cloud, IoT, and big data problems.
  • Join a global networking leader with strong year-over-year growth.
  • Inclusive workplace culture that values diversity and equal opportunity.
  • Work on products used by over 50,000 customers globally.

Interested in this position?

Apply directly on the company website

Apply Now

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