Apple is seeking a talented ML data engineer to join a team focused on leveraging recent breakthroughs in AI/ML and robotics. This role involves collaborating with skilled engineers and scientists to enhance Apple products and platforms. The ideal candidate will be self-motivated and possess strong technical and interpersonal skills. The main focus will be on developing innovative solutions that improve system performance and user experiences.

• MS/PhD in Computer Science, Math, Machine Learning, Robotics, or related fields.
• 3+ years of relevant industry experience.
• Strong software engineering background.
• Familiarity with the full robotics stack including controls, perception, planning, and navigation.
• Familiarity with modern ML approaches such as VLMs, LLMs, Diffusions, and RL.
• Proficiency using deep learning frameworks such as PyTorch and TensorFlow.
• Familiarity with Swift and Apple developer tools.
• Experience in training and fine-tuning multimodal foundational models.
• Experience in building RL models for robotics applications.
• Experience in multi-view geometry, camera calibration, and 3D reconstruction pipelines.
• Experience optimizing ML models or mathematical algorithms for mobile deployment and resource-constrained environments.

• Break down large features and implement practical solutions.
• Build complete prototypes that continuously improve system performance.

• 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.