The role is for a Machine Learning Engineer on an applied machine learning team at Apple, located in Cupertino, California. The team focuses on building innovative user experiences through machine learning technologies. The engineer will work on projects like handwriting recognition and document understanding, contributing to the full development cycle from ideation to productization. The ideal candidate will leverage their expertise in machine learning to create intelligent features for Apple platforms.

• PhD or MSc in Computer Science, Computer Engineering, or a closely related field.
• Industry experience in building product features based on machine learning, including generative models or multimodal LLMs.
• Experience with image processing, computer vision, speech recognition, or natural language processing.
• Proven track record of programming, debugging, and design skills.
• Detailed knowledge of one or more programming languages such as C++, C, Objective-C, or Swift.
• Experience with common machine learning toolchains such as PyTorch, TensorFlow, or JAX.
• Proficiency with Unix, iOS, or macOS development.
• Excellent problem-solving, critical thinking, and interpersonal skills.
• Ability to produce creative and innovative solutions to challenging problems.
• Enthusiastic about building end-to-end experiences using machine learning.
• High-quality communication skills and ability to work through ambiguity.

• Bring innovative ideas and apply modern machine learning methods to solve relevant problems.
• Participate in the full development cycle of core technologies.
• Work on handwriting and text recognition, handwriting synthesis, document understanding, and freeform drawing recognition and generation.
• Collaborate with team members to enhance user experiences across Apple platforms.

• 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.