Apple
Sr Machine Learning Engineer, ML Systems Engineering
Apple, Cupertino, California, United States, 95014
Sr Machine Learning Engineer, ML Systems Engineering
Cupertino, California, United States
Machine Learning and AI
Summary
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 machine learning engineers with a strong software engineering 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! Description
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. As a member of our team, you will ship excellent software for machine learning systems; establish scalable automated processes for evaluation and monitoring; contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow; commit to engineering excellence by upholding best practices that enable us to move quickly with confidence; obsess over the user experience first, and learn the power of story telling to communicate complex ideas; and develop innovative tools and techniques that change the way we look at problems. Minimum Qualifications
3+ years of experience building production machine learning systems Proficiency in Python programming Proficiency in at least one compiled language like C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or Rust MS in Computer Science or equivalent practical experience Preferred Qualifications
Experience working with ML pipelines and large datasets in production environments Experience with at least one ML framework like JAX, Keras, TensorFlow, Pytorch; XGBoost, LightGBM; or Scikit-learn Experience in resource constrained computing (e.g., embedded systems or mobile development) Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
#J-18808-Ljbffr
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 machine learning engineers with a strong software engineering 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! Description
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. As a member of our team, you will ship excellent software for machine learning systems; establish scalable automated processes for evaluation and monitoring; contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow; commit to engineering excellence by upholding best practices that enable us to move quickly with confidence; obsess over the user experience first, and learn the power of story telling to communicate complex ideas; and develop innovative tools and techniques that change the way we look at problems. Minimum Qualifications
3+ years of experience building production machine learning systems Proficiency in Python programming Proficiency in at least one compiled language like C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or Rust MS in Computer Science or equivalent practical experience Preferred Qualifications
Experience working with ML pipelines and large datasets in production environments Experience with at least one ML framework like JAX, Keras, TensorFlow, Pytorch; XGBoost, LightGBM; or Scikit-learn Experience in resource constrained computing (e.g., embedded systems or mobile development) Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
#J-18808-Ljbffr