Apple

Apple

Posted via Apple Careers

Sr. Computer Vision and Machine Learning Engineer, Creativity Apps

Always Hiring

Posted Aug 4, 2026

Role at a glance

Salary
$184.7K – $324.8K/yr
Location
Cupertino, California, United States Seattle, Washington, United States
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of significant industry experience
Education
MS or PhD in Computer Science, Machine Learning or related field

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Role Summary

AI-generated

The Creativity Apps team is developing next-generation creative editing tools through a new Generative AI initiative. This role focuses on computational photography, multi-modal image editing, and machine learning technologies for future Apple products and customer experiences.

What You'll Do

  • Incubate state-of-the-art machine learning algorithms and demonstrate their applicability to Apple’s products.
  • Own the full lifecycle of machine learning models, from large distributed training and validation to efficient inference at scale.
  • Design data pipelines with collection, curation, and evaluation teams to ensure suitable model inputs.
  • Communicate the latest research developments in image generation to help drive the long-term product roadmap.
  • Partner with cross-functional teams to bring experimental models and proof-of-concept features to next-generation products.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

MS or PhD in Computer Science, Machine Learning or related field; 5+ years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies; extensive knowledge of machine learning and deep learning, including diffusion models, variational auto-encoders and transformers; experience delivering customer-facing computer vision, computational photography or generative AI products; experience building, training, evaluating and deploying diffusion, transformer and Generative Adversarial Network based models; large-codebase software development; strong Python and PyTorch, JAX or TensorFlow skills; cross-organizational collaboration and communication skills.

Required

  • MS or PhD in Computer Science, Machine Learning or related field
  • 5+ years of significant industry experience
  • Machine learning and deep learning
  • Diffusion models
  • Variational auto-encoders
  • Transformers
  • Computer vision
  • Computational photography

Preferred

  • Optimizing models and algorithms for resource-constrained platforms
  • Flow matching
  • Multi-modal conditioning for generative modeling
  • 3D reconstruction from single or multiple images
  • Photography and aesthetics
  • Publications at CVPR, ICCV, ECCV, NeurIPS, ICML, or ICLR

Original job description

Content provided by the employer

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 pros and enthusiasts alike.

As a Senior Computer Vision & Machine Learning Engineer, you will work 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

We are hiring a software engineer to work on a new initiative that will push the boundary of what's possible in the field of Generative AI. The ideal candidate will have deep knowledge in computational photography and multi-modal image editing. This position requires a self-motivated individual with excellent interpersonal skills to effectively collaborate with all levels of the organization.

Responsibilities

Incubate state-of-the-art machine learning algorithms and demonstrate their applicability to Apple's products
Take ownership of the full lifecycle of machine learning models, from large distributed training and validation to efficient inference at scale
Design data pipelines in partnership with collection, curation and evaluation teams to ensure suitable model inputs
Communicate the latest research developments in image generation to help drive the long-term product roadmap
Partner with cross-functional teams to bring experimental models and proof-of-concept features to next-generation products.

Minimum Qualifications

MS or PhD in Computer Science, Machine Learning or related field, and 5+ years of significant industry experience delivering products using state-of-the-art computational photography and machine learning technologies.

Extensive knowledge in theory and practice of machine learning and deep learning techniques, particularly diffusion models, variational auto-encoders and transformers.

Experience delivering customer-facing products with computer vision, computational photography or generative AI features.

Hands-on experience building, training, evaluating, and deploying diffusion, transformer and Generative Adversarial Network based models, or related methods.

Experience contributing to large codebases while delivering high-quality software at scale.

Strong programming skills in high-level languages like Python and one of the deep learning toolkits such as PyTorch, JAX, or TensorFlow.

Ability to collaborate effectively across organizations and drive alignment in large cross-functional projects.

Ability to concisely communicate with audiences of different backgrounds, from non-technical individuals to experts in the field.

Committed to encouraging an open and inclusive work environment.

Preferred Qualifications

Experience optimizing models and algorithms that run efficiently on resource-constrained platforms is a plus.

Experience with flow matching and multi-modal conditioning for generative modeling is a plus.

Familiarity with 3D reconstruction techniques from single or multiple images, particularly ML-based methods, is a plus.

Knowledge of and keen interest in the art and science of photography and aesthetics.

Publications at major conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR) is a plus.

Pay & Benefits — Cupertino, California, United States

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 $184,700 and $324,800, 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, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Pay & Benefits — Seattle, Washington, United States

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 $175,000 and $308,500, 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, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as 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

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.