at Apple
Location
Cupertino, United States of America
Compensation
$257k–$386k USD
Type
full time
Posted
Yesterday
Market range · company + function + seniority
p25 · target · p75 · n=515
Posted $386k · well above market
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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.
Work closely in a diverse team including scientists, engineers, and designers to deliver performant, ML-based application features in the area of Computer Vision
Architect and build efficient on-device execution capabilities for ML-heavy workloads, taking advantage of iOS platform capabilities and underlying hardware architecture
Collaborate with ML scientists and engineers to implement machine learning algorithms on-device, ensuring parity between on-device inference and training-time evaluation
Analyze and optimize the performance of machine learning models and systems, working backwards from a deep understanding of product needs.
Formulate concrete requirements from broad feature definitions, drive consensus and scope the required effort for planning
Mentor engineers and scientists in the team, fostering technical excellence and driving project execution
Build relationships with partner teams across Apple to explore collaboration opportunities and assess existing solutions for integration
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
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
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!
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
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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