About the Role

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.

Responsibilities

• 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

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
• Experience with Machine Learning algorithms
• Excellent communication skills
• M.S. or PhD in Computer Science (or related fields) or equivalent experience

Preferred Qualifications

• 3+ years in C++ and Python programming
• 3+ years expert in GPU programming
• Experience with Swift programming
• Experience and passion to circumvent unexpected roadblocks
• Past research experience is a plus

Equal Opportunity

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.