The role of Machine Learning Engineer at Apple Maps involves contributing to the evolution of Maps technology, which is used by millions daily. The team focuses on leveraging Machine Learning and Generative AI to enhance search quality and enable innovative user experiences. Candidates will have opportunities to build groundbreaking technologies that improve how users find information. This position requires collaboration in small teams and emphasizes attention to detail and data accuracy.

• MS in computer science or equivalent field with 2+ years of industry experience
• Proven record in delivering end-user facing Machine Learning driven products
• Strong programming experience in one or more of the following: Java, C++, Python
• Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks
• Excellent interpersonal and communication skills
• Attention to detail, data accuracy and quality of output
• Ph.D in computer science or equivalent field with 2+ years of industry experience
• Expertise and experience in various facets of machine learning and natural language processing
• Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics
• Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired

• Develop and implement Machine Learning models to improve search quality for Apple Maps
• Collaborate with team members to build innovative technologies using Generative AI
• Ensure the accuracy and quality of data outputs
• Engage in feature engineering and information extraction tasks
• Apply knowledge of big data processing frameworks in projects

• 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.