Job Details

Weekly Hours: 40

Role Number: 200661897-0836

Summary

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! The Creativity Apps team needs your help shaping the next generation of creative editing tools by working on pioneering technologies to surprise and delight creative pros and enthusiasts alike.

As a Principal ML Software Engineer, you will be working alongside our world-class creatives, designers, and engineers to help innovate in the creative space in ways that only Apple can. This is a highly visible, highly impactful opportunity!

Description

Are you ready to be an early member of a new engineering team? This role is ideal for a hands-on technical leader passionate about applying cutting-edge ML technologies to real-world applications, with particular focus on reliability and performance. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.

Minimum Qualifications

• BS/MS in Computer Science or related field, and 10+ years of significant iOS development experience

• Strong track record in building both, user-facing apps and system-level components, driving significant product impact

• Strong technical judgment and communication skills to influence leadership in high-impact strategic decisions

• Deep knowledge of the iOS ecosystem, including system frameworks, APIs, daemons and resource management capabilities

• Exceptional experience with Apple’s languages such as Swift and Objective-C, and machine learning development tools such as CoreML

• Experience optimizing models and algorithms to run efficiently on resource constrained platforms

• Excellent understanding of an ML-based product lifecycle

• Demonstrated ability to lead and set direction for ML integration across organizational boundaries

• Experience as a technical lead; demonstrating strong communication, collaboration, mentorship and project management skills

• Committed to encouraging an open and inclusive work environment

Preferred Qualifications

• PhD in Computer Science, Machine Learning or related field

• Solid understanding of computer vision, machine learning and deep learning techniques, including Vision Transformers, Multimodal LLMs and Diffusion models

• Familiarity with modern camera ISP and digital image processing algorithms and models

• Knowledge and keen interest in learning the art and science of photography