14 days old

Machine Learning Infrastructure Engineer

Cupertino, CA 95014
  • Job Code
    200174899
Summary

Summary

Posted: Jun 9, 2020

Role Number:200174899

Apple is looking for Machine Learning/Deep Learning infrastructure engineers to develop infrastructure for various ML/DL applicatio...Summary

Summary

Posted: Jun 9, 2020

Role Number:200174899

Apple is looking for Machine Learning/Deep Learning infrastructure engineers to develop infrastructure for various ML/DL applications. Your work will enable researchers and engineers to build production ML/DL models at scale. Join Apple and help us leave the world better than we found it!

WHAT YOU'LL DO
- Develop highly scalable and reliable machine learning infrastructure that can perform model training and evaluation on a massive scale.
- Build vital tools and infrastructure to monitor and understand the performance of complex systems.
- Support the team to deploy models in a mission critical environment.

Key Qualifications

  • Strong background in building scalable and fault-tolerant distributed systems. Ideal candidates have past experience in building applications such as data pipelines, data caching/storage systems, and/or RPC services.
  • Strong programming background, with extensive experience in Python. Experience with C++ is a plus.
  • Substantial experience with multiple technologies from the following list: Arrow, Bazel, Docker, Kibana, MPI, MySQL, Redis, Spark, Zookeeper.
  • Ability to build full-stack web applications/services for internal tooling.
  • Previous experience with developing machine learning infrastructure or experience in using GPUs is a plus.

Description

You'll join a phenomenal team of hardworking engineers and researchers with deep experience in robotics, machine learning, and software engineering. We hope you're excited about the values that drive us:
- Passion for the mission: We're here to make something great. We take on whatever work is right for the product and strive for the best possible results.
- Modesty: The right answer is more important than being right. We search for solutions as a team and value clear-eyed feedback.
- Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make great decisions.

Education & Experience

Bachelors, Masters, or PhD Degree in Computer Science or equivalent professional experience.

Additional Requirements

Posted: 2020-10-11 Expires: 2020-11-10

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Machine Learning Infrastructure Engineer

Apple, Inc.
Cupertino, CA 95014

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