On-Device Machine Learning Integration Engineer

Join the Video Computer Vision group as a Machine Learning Integration Engineer to deploy state-of-the-art computer vision technologies on Apple devices. You will support ML development, improve features, and integrate ML and CV components into production systems, balancing performance with on-device compute and power constraints. This role involves developing applications and tools for algorithm evaluation, prototyping, and technology demonstrations, contributing to pioneering human-centric real-time features like FaceID and Gaze and Hand gesture control.

Must Have

• Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience.
• Strong foundational knowledge in Computer Science.
• Extensive programming experience in Python, Swift, C++.
• Experience working with PyTorch.
• Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment.
• Foundational understanding of machine learning: ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.

Good to Have

• Experience with CoreFoundation, RealityKit and CoreML.
• Hands-on experience with CI/CD pipelines and practices.
• Experience with live camera streaming applications: Understanding of real-time video pipelines, image transformations, and rendering loops.
• Familiarity with common computer vision techniques (e.g., object detection, segmentation, tracking, pose estimation), sequence models for real-time inference and LLMs optimized for on-device performance.

Perks & Benefits

• Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
• Eligible for discretionary restricted stock unit awards
• Can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan
• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• Reimbursement for certain educational expenses (including tuition) for formal education related to advancing your career at Apple
• Eligible for discretionary bonuses or commission payments
• Eligible for relocation

We’re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us enable that potential for realtime human understanding on Apple devices. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life.

As part of the Video Computer Vision (VCV) team, you will support our ML development and continuously improve our features. Working closely with ML algorithms engineers, data scientists and quality assurance teams, you’ll help deploy state-of-the-art computer vision technologies on Apple devices, balancing performance with the compute and power constraints of on-device inference.

• Develop applications and tools for algorithm evaluation, prototyping, and technology demonstrations.
• Support teams across Apple by integrating ML and CV components into production systems.
• On-device integration of CV/ML algorithms.

Key Qualifications

• Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience.
• Strong foundational knowledge in Computer Science.
• Extensive programming experience in Python, Swift, C++.
• Experience working with PyTorch.
• Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment.
• Foundational understanding of machine learning: ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems.

Preferred Qualifications

• Experience with CoreFoundation, RealityKit and CoreML.
• Hands-on experience with CI/CD pipelines and practices.
• Experience with live camera streaming applications: Understanding of real-time video pipelines, image transformations, and rendering loops.
• Familiarity with common computer vision techniques (e.g., object detection, segmentation, tracking, pose estimation), sequence models for real-time inference and LLMs optimized for on-device performance.

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 $139,500 and $258,100, 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.

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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Apple accepts applications to this posting on an ongoing basis.