Machine Learning Engineer, OS Intelligence

$135,400 - $250,600/Yr

Apple - Seattle, WA

Full-time - Mid Level

Seattle, WA

Computer and Electronic Product Manufacturing

About the position

The OS Intelligence team at Apple is seeking a talented individual to design and implement innovative Machine Learning solutions that enhance the user experience across various Apple operating systems. This role involves working on Deep Learning architectures and contributing to the development of key features and technologies that are integral to the operating system's functionality. The position requires collaboration across teams to integrate intelligence into new domains, pushing the boundaries of what is possible in operating systems.

Responsibilities

• Innovate, conceptualize, and prototype novel intelligent experiences using recent advances in LLMs and sequence-to-sequence models.
• Build scalable cloud-based and on-device infrastructure for running experiments and monitoring models.
• Analyze and present key performance data for OS features.
• Write elegant, performant code in Objective-C or Swift, and test, debug, and productize it.
• Consult with and influence other teams to drive adoption of new APIs.

Requirements

• Bachelor's degree in Computer Science or equivalent work experience.
• Strong programming background with a clear understanding of operating system components.
• Familiarity with statistics, data analysis, or machine learning.
• Outstanding communication and presentation skills.
• Proven track record leading software projects from inception through customer delivery.
• Ability to deliver high quality work on tight schedules.

Nice-to-haves

• Familiarity with Python, Objective C, or Swift.
• Experience with Deep Learning libraries like PyTorch and Tensorflow.
• Experience building and leading Applied Machine Learning projects in industry or academia.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses including tuition
• Discretionary bonuses or commission payments
• Relocation assistance