CV and ML Engineer

Seattle, Washington, United States Machine Learning and AI Description You will work on cutting‑edge computer vision and machine learning problems, developing algorithms and systems that enable 3D spatial understanding. This includes training and optimizing deep learning models, building data pipelines, running experiments, and integrating models into production software systems. You will be responsible for developing and optimizing deep learning models for 3D perception tasks, building and maintaining training data pipelines, improving model quality and efficiency through experimentation, and integrating trained models into real‑time production systems. As a member of a fast‑paced team, you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day. Minimum Qualifications Master's or equivalent practical experience, in Computer Science, Computer Vision, Machine Learning, or related technical field Experience in deep learning with demonstrated work in 3D vision or geometric deep learning Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX Experience with rapid prototyping, reproduction, and validation of research ideas Strong mathematical foundations in machine learning, computer vision, or related fields Experience with foundation model architectures and training methodologies Experience working effectively in a multi‑functional, collaborative environment Preferred Qualifications PhD, or equivalent practical experience, in Computer Science, Machine Learning, Computer Vision, or a related technical field Demonstrated expertise in deep learning, with either: a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, COLM, etc), or a strong track record of applying deep learning techniques to real‑world products Experience with large‑scale distributed training and model parallelism Familiarity with 3D computer vision concepts: multi‑view geometry, depth sensing, camera models, or 3D reconstruction Experience with training data curation and pipeline engineering Experience with model optimization for production deployment Proficiency in C++ or experience integrating ML models into performance‑critical systems Strong communication skills and ability to present research findings to both technical and non‑technical audiences 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 reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. 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. Learn about accessibility in Apple’s workplace. Learn about reasonable accommodations for job applicants. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr Apple