Staff Software Engineer, Machine Learning

closed
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Extreme Networks

πŸ’΅ $80k-$160k
πŸ“Remote - India

Summary

Join our team as a Staff Software Systems Engineer-Machine Learning Platform (Development) -Python, Spark, PySpark. We're looking for an experienced engineer to lead the design and launch of strategic machine learning solutions, drive business-wide innovation, and mentor other engineers on the team.

Requirements

  • Degree in mathematics/computer science or related discipline
  • 5+ years of experience in the complete software development lifecycle including design, coding, code reviews, testing, build processes, deployments and operations
  • 5+ years of experience in programming, with proficiency in at least one programming language, preferably Python or Java
  • 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 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

Responsibilities

  • Be a thought leader and forward thinker, help drive an innovative vision for our various products and platforms
  • Take the lead in the end-to-end software development lifecycle, encompassing design, testing, deployment, and operations
  • Craft high-performance, production-ready machine learning code for our next-generation real-time ML platform
  • Working closely with other engineers and scientists, lead solutions to accelerate model development, validation and experimentation cycles
  • 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

Preferred Qualifications

  • M S or PhD in Computer Science or equivalent experience in ML
  • Experience dealing with real-world large-scale datasets
  • Prior experience delivering end-to-end ML solutions, including data preparation, training, fine-tuning and deployment of large models
  • Prior experience in developing ML optimization techniques in frameworks like PyTorch and CUDA
This job is filled or no longer available