Aesthetics Science ML Research Engineer

Apple, Inc.; San Diego (CA); Presencial; USD 142.000 - 263.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Comprehensive medical and dental

Retirement benefits

Discretionary bonuses

Relocation

Descripción de la vacante

Apple is seeking an innovative research engineer to develop image-related ML features for iPhone and across Apple’s creative ecosystem. You will design, train, and evaluate multimodal models and generative AI systems, prototyping algorithms, and leading data-collection efforts.

The role emphasizes translating subjective study results into tangible features, collaborating with cross-functional teams, and balancing aesthetic values with robust software for visual creativity.

Formación

• 3+ years of experience in multimodal vision-language models, computational photography, image processing, or CV
• Ability to collaborate across multi-functional teams and communicate effectively
• Excellent coding in Python and deep learning frameworks

Responsabilidades

• Prototype novel algorithms for image-related ML features
• Train and evaluate ML/genAI models end-to-end
• Design custom data collection efforts and experiments
• Collaborate with research and user-study teams to translate results into feature development

Conocimientos

Multimodal vision-language models

Python programming

Deep learning frameworks

Educación

PhD or Master’s in CS/ML/Graphics

Herramientas

Swift/Objective-C/Metal

Descripción del empleo

San Diego, California, United States Software and Services

iPhone is the most popular camera in the world, and the Aesthetics Science team is focused on infusing photographic knowledge and personal preferences into the features and algorithms that power it. We bring together aesthetics research, image processing, and machine learning to help advance photography while upholding what makes it a beloved medium for self-expression. You'll have real ownership over how these creativity-enhancing features come together into a coherent, best-in-class experience.

Description

We're seeking a self-driven, innovative research engineer to work on image-related machine learning solutions fundamental to visual experiences on iPhone and across Apple's creative ecosystem. You'll research, implement, and evaluate novel computational imaging features and multimodal solutions that shape future Apple products.You bring solid experience designing, training, and analyzing multimodal models and evaluation frameworks end-to-end — combined with a passion for photographic aesthetics and high-quality software for visual creativity and image generation. Day-to-day responsibilities include prototyping novel algorithms, training and evaluating ML/generative AI (genAI) models, and designing custom data collection efforts.This role involves close collaboration with our research and user study teams to design thoughtful experiments and translate the results of complex subjective studies into feature development, working alongside subject matter experts across visual media to build responsible, intelligent systems. Your work will be highly collaborative, both within the team and cross-functionally, requiring you to communicate technically and creatively toward a smarter, more inclusive camera.What sets you apart from a traditional ML software engineer is the ability to integrate aesthetic values beyond your own into your work, and to operate confidently in spaces without clear-cut metrics. This role blurs the line between art and science and requires deep respect for both.

Minimum Qualifications

• 3+ years of demonstrated experience identifying novel problems and delivering viable solutions in multimodal vision-language models, computational photography, image processing, or computer vision, in industry or academia
• Ability to collaborate across multi-functional teams, communicate effectively, and reason through ambiguous problems deeply and thoroughly
• Excellent coding skills in Python and deep learning frameworks

Preferred Qualifications

• PhD or Master's degree in Computer Science, Machine Learning, Graphics, or a related field, or equivalent industry experience
• Experience developing and training models for agentic workflows, tool calling, or personalized interactions
• Past involvement building or running evaluation platforms for AI use cases
• Personal or professional experience with content creation, media curation, or photo/video editing
• Appreciation for concepts and trends in photography, videography, and visual storytelling
• Proficiency in Swift, Objective-C, or Metal
• Fluency in additional languages (e.g., Mandarin) to support user research across global markets.
• Ability to travel internationally for work

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.

You’ll also receive benefits including:

• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• Reimbursement for certain educational expenses — including tuition
• Discretionary bonuses or commission payments
• Relocation

Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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

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