As a CVML Algorithm Engineer at Apple, you will be part of a team dedicated to developing innovative biometric machine learning algorithms for products like Face ID and Apple Vision Pro. The role involves collaborating with algorithm and software engineers to create effective computer vision solutions that are deployed on edge devices. You will focus on balancing research and development to ensure high-quality user experiences. The ideal candidate is self-motivated and eager to learn, contributing to technologies that will impact millions of users.

• BS in Machine Learning related fields such as Data Science, Electrical Engineering, Computer Science, or Statistics with a minimum of 3 years of relevant industry experience.
• Proficiency in Python programming language.
• Solid background in machine learning and ML frameworks.
• Experience developing large scale models using modern machine learning packages like TensorFlow or PyTorch.
• Experience with machine learning model interpretation, statistical inference, and evaluating deep learning models.
• MS or PhD in Machine Learning related fields is preferred.
• Experience with LLM techniques, vision transformers, and multimodal networks.
• Familiarity with prompt engineering and the ability to use AI to develop efficient workflows.
• Experience with software design, designing data pipelines, and using C/C++.
• Excellent interpersonal, communication, and documentation skills, with the ability to present to both technical and non-technical audiences.

• Collaborate with algorithm engineers, software engineers, and hardware engineering partners to develop new technologies for Apple's next generation products.
• Innovate and deliver effective, efficient, and well-tested computer vision based solutions from prototyping to shipping.
• Work on biometric ML algorithms using real-world and simulated data.
• Contribute to a team environment that encourages self-improvement and quality work.
• Influence future user experiences and hardware used by millions.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.