ISE, SIML - Software Engineer in Machine Learning

Cupertino, CA 95014
  • Job Code
    200165406
  • Jobs Rated
    8th
Summary

Summary

Posted: Aug 21, 2020

Weekly Hours: 40

Role Number:200165406

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way m...Summary

Summary

Posted: Aug 21, 2020

Weekly Hours: 40

Role Number:200165406

Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people capture, discover and share the most special moments of their lives? We truly believe it can! The System Intelligence and Machine Learning (SIML) group is responsible for crafting machine learning solutions to extract high level structure information from images, videos and text shipping on all Apple platforms (macOS, iOS, tvOS, watchOS). Examples include face recognition, scene classification, OCR, handwriting recognition as well as the support for internal tools. The group combines research and development in a dynamic and engaging environment.

Particularly, our SIML data team is responsible for crafting and building high quality datasets at scale. At the heart of machine learning, data defines how Apple features and products operate and what is the final user experience that will impact millions of our customers. As a software engineer on the team you will have the opportunity to shape and contribute to the next generation of the software stack that handles all of our data needs. This is an exciting time to join us: grow fast, and have an impact on multiple key features on your first day at Apple!

Key Qualifications

  • 3+ years of hands-on industry experience
  • You have strong Python coding skills and/or equivalent Java or Scala experience
  • You care about proper software architecture and you are interested to learn modern software architecture and implement ideas using Apple large scale infrastructure tools
  • You are able to define atomic components that can be chained together to perform large scale data transformation
  • You are able to perform data validation and transformation and build scripts to automate these verification tasks
  • You are not scared of manually exploring and examining the data using Jupyter Notebooks or other tools.
  • You also have the habit of looking at the data to create intuition and lead your next steps
  • You are able to handle small programming tasks without losing the big picture
  • You're comfortable building and implementing pipelines that process large amounts of data
  • Strong written and verbal communications skills

Description

This position focuses on designing and implementing smart data pipelines based on advanced computer vision technology and humans in the loop. You will contribute to the creation of modules for verification and the validation of data and will build pipelines that can utilize these modules to produce high quality datasets to be used for the future generation of Apple state-of-the-art ML models.

Education & Experience

Bachelors, Masters, or Ph.D. in Computer Science, Mathematics, Physics, or a related field (or equivalent practical experience)

Additional Requirements

  • Experience with distributed computation and with large databases is a plus
  • Experience with Spark, Hadoop and Hive and other large scale data processing systems is a plus
  • Prior knowledge of Docker, Kubernetes, Airflow, Splunk and Kafka is a plus
  • Knowledge of Data Science and familiarity with Machine Learning is a big plus


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ISE, SIML - Software Engineer in Machine Learning

Apple, Inc.
Cupertino, CA 95014

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Software Engineer
8th2017 - Software Engineer
Overall Rating: 8/199
Median Salary: $100,690

Work Environment
Good
53/199
Stress
Very Low
24/199
Growth
Very Good
32/199