What are the responsibilities and job description for the Sr Machine Learning Engineer, Proactive - ML Systems Engineering position at Apple, Inc.?
Apple's products combine the best hardware and incredible software to deliver magical experiences to our customers. The Proactive Intelligence team builds features that anticipate customer's needs and create personalized experiences by adapting to user behaviors with machine learning running locally on users' devices. We are seeking exceptional software engineers with a strong machine learning background to join our team where we're making Apple Intelligence more capable and personalized to surprise and delight our millions of customers on the iPhone, Mac, Apple Watch, iPad, and more!
We are seeking passionate, creative, and curious engineers with experience shipping machine learning systems and a proven track record of outstanding software engineering abilities. We need your expertise to invent the future by integrating new features with highly complex systems. You will need to learn and deeply understand the way Apple's software operates in order to deliver new capabilities and features. The most successful engineers ask questions, are eager to teach and learn together, and share a common belief that that we can surprise and delight our customers with personalized intelligent experiences in all of Apple's products. Join us to benefit the lives of hundreds of millions of people around the world!
3 years of experience building production machine learning systems\nProficiency in Python programming\nProficiency in at least one compiled language like C, C , Objective-C, Swift, Go, Java, Kotlin, C#, or Rust
Experience working with ML pipelines and large datasets in production environments\nExperience in resource constrained computing (e.g., embedded systems or mobile development)
We are seeking passionate, creative, and curious engineers with experience shipping machine learning systems and a proven track record of outstanding software engineering abilities. We need your expertise to invent the future by integrating new features with highly complex systems. You will need to learn and deeply understand the way Apple's software operates in order to deliver new capabilities and features. The most successful engineers ask questions, are eager to teach and learn together, and share a common belief that that we can surprise and delight our customers with personalized intelligent experiences in all of Apple's products. Join us to benefit the lives of hundreds of millions of people around the world!
3 years of experience building production machine learning systems\nProficiency in Python programming\nProficiency in at least one compiled language like C, C , Objective-C, Swift, Go, Java, Kotlin, C#, or Rust
Experience working with ML pipelines and large datasets in production environments\nExperience in resource constrained computing (e.g., embedded systems or mobile development)