Job Details

Camera Software - Machine Learning Research Engineer

Cupertino, California, United States

Software and Services

Summary

Posted: Sep 19, 2025

Weekly Hours: 40

Role Number: 200622144-0836

Phone is the most popular camera in the world. The flawless integration of software and hardware has led to features like Memories and Portrait Mode, which deliver experiences that are magical. The Camera & Photos team focuses on user experience by using computer vision and image processing through machine learning. Our team works hard on products that ship to millions of people. We are looking for people who want to do the same.

The Computational Imaging team develops the camera pipelines and innovative algorithms for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, our team delivers the quality and features which help to redefine mobile photography. In this role, you will work hands-on with diffusion models, transformers, and next-gen generative techniques, while collaborating closely with product, design, and research teams to bring your ideas to life. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you

Description

Design novel generative model architectures and training strategies for vision and computational photography applications.
Fine-tune and adapt pre-trained models for specific use cases and domains.
Build scalable and robust data pipelines for large-scale image and video datasets.
Develop comprehensive evaluation frameworks, including implementing quantitative metrics and qualitative analysis methodologies, conducting ablation studies and hyper-parameter optimization, for model performance assessment.
Conduct deep technical analysis and identify research directions.
Participate in code reviews, technical discussions, and knowledge sharing sessions.
Communicate complex technical concepts through clear documentation and presentations.
Stay current with the latest research in generative AI, computer vision, and computational photography. Translate findings into practical applications.

Minimum Qualifications

• Expertise in image processing, computer vision, and deep learning.

• Strong experience with deep learning frameworks (e.g. PyTorch) and modern ML toolchains.

• Hands-on with multi-GPU/multi-node/distributed training and large-scale experimentation.

• MS + 5 years industry experience.

Preferred Qualifications

• Proven experience with training and developing generative models.

• Excellent communication skills and an ability to bridge gap between technical depth and product impact.

• Collaborative mindset with openness to feedback and continuous learning.

• Curiosity-driven with a track-record of identifying and solving complex technical problems.

• Publications at major conferences (CVPR, ICCV, NeurIPS, ICML) or open-source contributions would be a plus.

Pay & Benefits

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 $147,400 and $272,100, 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. (https://www.apple.com/careers/us/benefits.html)

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.