SummaryPosted: Mar 10, 2025Weekly Hours: 40 Role Number:200594000The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Are you up for the challenge? Join the HWTE Computer Vision and Machine Learning (CVML) team and play a key role in shaping the future of Apple’s products! Our team develops innovative solutions for the inspection and metrology of displays across iPhone, iPad, Mac, Vision Pro, and upcoming products. As a ML Engineer, you will architect, develop, and deploy AIML-driven inspection solutions in manufacturing, working alongside some of the best engineers at Apple. Be among the first to witness the creation of Apple’s newest products!DescriptionDescriptionYou will be responsible for developing defect detection and automatic optical inspection of Apple products, with a focus to develop/ deploy AIML models, and optimize model inference on edge devices (CPU/GPU/ANE) - Design, develop and optimize CVML based solutions for manufacturing inspection - Implement the full machine learning lifecycle—from data collection and preprocessing to model development, deployment, and monitoring. - Develop scalable ML software deployment pipelines across multiple projects and hardware platforms. - Stay ahead of AI/ML advancements and integrate the latest into our technology roadmap - Collaborate with cross-functional teams including optical instrumentation scientists, software engineers, and system design engineers to build inspection solutions. - Analyze large amounts of data to qualify and improve algorithm/ models. - Review and optimize algorithms developed internally and by third parties.Minimum QualificationsMinimum QualificationsMS/PhD in Computer Science, Electrical Engineering, Imaging Science.Strong expertise in image processing and computer vision, such as feature extraction and representation, image registration, segmentation, distortion correction, image restoration, frequency domain analysis, change detection, image quality assessment, and 3D computer vision.Hands-on experience in developing and deploying supervised and unsupervised machine learning models (e.g., CNN, GAN, AE, Transformer, Clustering, SVM) for defect detection, anomaly detection, image segmentation, classification, restoration.Proficiency in C++, MATLAB, Python, Git, and deep learning frameworks such as Keras, TensorFlow, and PyTorch.Strong written and verbal communication skills, with the ability to effectively collaborate across diverse teams.Key QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsExperience with AIML models/ applications on edge devices.Experience with HW optimization / GPU acceleration.Knowledge of ML Dev Ops with scalable cloud platforms like AWS/GCP.Experience in iOS development (Objective C/ Swift ).Experience in SW modularization, scalability, unit/ regression testing.Experience in modeling and characterization for imaging system.A proactive attitude with the ability to explore uncharted technology spaces and deliver innovative solutions in a timely fashion.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore