Camera Software - Sr. Machine Learning Engineer

Apple Inc.; Cupertino (CA); On-site; USD 185,000 - 325,000; Full time

Job summary

Apple Inc. is seeking a Sr. Machine Learning Engineer for camera software in Cupertino.

The role focuses on turning research into on-device imaging features, shipping efficient ML algorithms for iPhone imaging experiences, and advancing computer vision along with related ML fields. Candidates should demonstrate leadership and cross-functional collaboration. The team prioritizes state-of-the-art methods, optimization for edge devices, and reliable production deployment across devices used by

Qualifications

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Responsibilities

• Apply your ML and computer vision expertise to build, evaluate, and ship models powering Apple's imaging experiences, turning ideas into on-device algorithms.
• Stay current with developments in CV, deep learning, and related ML fields, and influence technical direction across the team and Apple’s products.
• Deliver efficient, scalable solutions that run on iPhone/iPad hardware and optimize for edge deployment.

Skills

10+ years ML experience

Productizing ML research

ML pipelines

Technical leadership

Computer vision

Software engineering fundamentals

Cross-functional communication

image processing

generative models

NLP/vision-language models

Tools

PyTorch

OpenCV

NumPy

Pandas

Pillow

Job description

Camera Software - Sr. Machine Learning Engineer

Cupertino, California, United States Software and Services

iPhone is the most popular camera in the world. The flawless integration of software and hardware has led to features like Memories and Portrait Mode that delight hundreds of millions of users. The Camera & Photos team shapes these experiences by applying machine learning, computer vision, and image processing at scale, and shipping it to production on devices used by millions.The Camera Intelligence team builds the ML systems and algorithms behind Apple's mobile imaging experiences, from iPhone to iPad. We're looking for a senior ML engineer who can take a research idea all the way to a shipping, on-device feature: someone equally comfortable pushing the state of the art and making it run fast, efficiently, and reliably in production.

Description

You will apply your ML and computer vision expertise to build, evaluate, and ship models that power Apple's imaging experiences, turning early-stage ideas into commercially viable, efficient, on-device algorithms. You'll stay current with developments across computer vision, deep learning, and adjacent ML fields (including LLMs and multimodal models where relevant), and use that knowledge to influence technical direction across the team and Apple's products.

Minimum Qualifications

• 10+ years of combined research and hands-on engineering experience building and shipping ML systems, ideally with a strong foundation in computer vision.
• Proven track record productizing ML research: taking models from prototype to on-device deployment, including optimization, quantization, and other techniques for efficient inference at the edge.
• Experience designing and scaling ML pipelines against large, real-world datasets.
• Demonstrated technical leadership: setting technical direction, driving cross-functional initiatives, and mentoring other engineers/researchers.
• Depth in one or more of: image processing, optical flow, object tracking/registration, generative models, or modern deep learning architectures. Experience with NLP, LLMs, or vision-language models is a strong plus.
• Strong software engineering fundamentals: programming, debugging, and system design.
• Excellent problem-solving, critical thinking, and cross-functional communication skills.

Preferred Qualifications

• Fluent in modern ML frameworks, with strong hands-on experience in PyTorch, and proficiency with the core scientific/imaging Python stack (NumPy, Pandas, OpenCV, Pillow, or similar).
• Experience optimizing models for on-device/edge inference (quantization, pruning, distillation, or deployment on accelerators such as the Apple Neural Engine) is a strong plus.
• Proficiency in C++ or Objective-C is a plus.

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.

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.

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Apple accepts applications to this posting on an ongoing basis.