AIML - Software Engineer for MLX, MLR
As part of Apple's Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in system engineering and software development to join our team. In this position you will work with researchers and software engineers across the Machine Learning Research group to build scalable, distributed training and research pipelines.
Description
Work with researchers and software engineers on the MLX team to build high performance and scalable software addressing novel ML research algorithms - Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques on Apple silicon - Is this you? If so we'd love to hear from you.
Preferred Qualifications
3+ years in C++ and Python programming
3+ Expert in GPU programming.
Experience with Swift programming
Experience and passion to circumvent unexpected roadblocks
Past research experience is a plus
Minimum Qualifications
2 years in C++ and Python programming - including internships
2 years in GPU programming - including internships
Experience with open-source projects and collaborative software development.
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Experience with Machine Learning algorithms.
Excellent communication skills.
M.S. or PhD in Computer Science (or related fields) or related fields or equivalent experience.
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. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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