Machine Learning DevOps - NEON

Mountain View, CA

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Title: Machine Learning DevOps Engineer- NEON
Company: Samsung Research America (SRA)
Lab: NEON
Location: Mountain View, CA

Lab Summary

We are NEON, a subsidiary of Samsung dedicated to creating Artificial Humans who interact with you in ways indistinguishable from the real world. Our NEONs (Neo humaNs) draw inspiration from the most natural of interfaces: interaction with another human being. Bringing together a world-class R&D team of researchers, developers, and engineers, that are building production technology at the cutting edge of artificial intelligence, machine learning, real-time computing, conversational agents, computer graphics, design, and more.

NEONs hold the potential to advance our digital world while preserving the elements of human interaction that are meaningful to all of us. If you share that dream – if you want to make the visions you saw in Her, Blade Runner, and more into tangible reality – and are passionate about taking such ideas into handcrafted renderings, we would love to hear from you!

Position Summary

Position Summary for all roles individually required

Responsibilities

  • Build and Maintain compute infrastructure to support deep learning training
  • Automate ML workflows using CI/CD pipelines
  • Manage data storage and data versioning
  • Build tools for monitoring pipelines and detecting problems; for analyzing captured data and generated results, and for annotation or data quality checks

Requirements

  • Bachelor's or Master's degree in computer science or experience in a related field or equivalent practical experience and training
  • Strong Python and Shell scripting skills
  • Experience with Docker, Kubernetes, and CI/CD tools like Jenkins/Gitlab/CircleCI

A Little Extra!

  • Knowledge of Kubeflow
  • Prior experience with DVC, Sagemaker
  • Experience with building MLOps pipeline on AWS

 

Samsung is committed to encouraging a diverse workplace and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. If you have a disability or special need that requires accommodation, please let us know.

 

Job region(s): North America
Job stats:  8  1  0
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