Machine Learning Engineer

2 days ago


Cupertino, California, United States Apple Inc. Full time
About the Role

At Apple Inc., we're seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our engineering team, you'll be responsible for designing and developing scalable machine learning infrastructure for our applications.

Key Responsibilities
  • Develop and implement API backends to build distributed machine learning systems
  • Design and train machine learning models using Python and Java
  • Collaborate with engineers to solve complex data problems at scale
  • Identify and evaluate new patterns and technologies to improve performance and maintainability of machine learning systems
  • Work with cloud data processing technologies and machine learning modeling frameworks to support application development
Requirements
  • Bachelor's degree in Computer Science or related field and 4 years of experience in the job offered or related occupation
  • 2 years of experience with each of the following skills: designing and implementing API backends, using Python for training and evaluating machine learning models, using Java to build micro-services APIs in cloud and infrastructure, running large-scale data analytics applications across clustered computers using Spark, using relational databases such as MySQL to store and query data, and using high performance query engine for big data including Presto
What We Offer

As an Apple employee, you'll have the opportunity to work on cutting-edge technology and collaborate with a talented team of engineers. You'll also receive a comprehensive benefits package, including medical and dental coverage, retirement benefits, and a range of discounted products and services. Additionally, you may be eligible for discretionary bonuses or commission payments, as well as relocation assistance.

Apple is an Equal Employment Opportunity Employer that is committed to inclusion and diversity. We take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.



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