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Apple AIML-Sr On-Device Machine Learning Engineer Measurement United States, California, Cupertino 19059771
14.12.2024
Description
In this role you will:Successful candidates will need to have a strong technical background and interest or experience with iOS development and deploying privacy-preserving systems. Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role. You will be working across a range of technologies, so adaptability to new problems and systems is a core skill.
Minimum Qualifications
- * 2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.
- * Strong hands-on experience in iOS development, with proficiency in one or more object-oriented programming languages such as C, C++, Objective-C, Swift.
- * Experience with training, evaluating, and deploying machine learning models to production.
- * Strong problem-solving skills, creativity in finding effective solutions, and the ability to work in a cross-functional team.
- * BS in Computer Science, EE or equivalent experience.
Preferred Qualifications
- * Passion for customer privacy
- * Experience with differential privacy, secure multi-party computation or private federated learning
- * 5+ years of industry experience
- * Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.
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 $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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