Apple is seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing to contribute to real-time sensing and data intelligence systems. In this role, you will design, build, and maintain large-scale data processing workflows, develop and optimize computer vision models, and collaborate with engineering, research, and data teams to translate product requirements into production-ready solutions. You will prototype models, run large-scale experiments, improve data quality, and ensure seamless integration of algorithms into production systems. You may explore emerging areas such as LLM-based agents, retrieval-augmented systems, and tool-oriented reasoning to improve internal workflows or data operations. Minimum Qualifications: - Strong foundation in computer vision with deep learning-based models and areas such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning. - Hands-on experience with PyTorch or TensorFlow. - Experience building or optimizing large-scale data pipelines (distributed ETL, dataset generation, annotation workflows, data validation, high-throughput processing). - Proficiency in Python or C++ for algorithm development and data processing. - Experience with distributed computing frameworks (Spark, Ray, or equivalent). Preferred Qualifications: - PhD in a relevant field related to computer vision, large-scale data systems, or multimodal learning. - Experience designing or evaluating agentic systems, including LLM-powered tools, RAG pipelines, or automated data reasoning wo

Apple is seeking a Machine Learning Engineer with strong expertise in computer vision and large-scale data processing to contribute to real-time sensing and data intelligence systems. In this role, you will design, build, and maintain large-scale data processing workflows, develop and optimize computer vision models, and collaborate with engineering, research, and data teams to translate product requirements into production-ready solutions. You will prototype models, run large-scale experiments, improve data quality, and ensure seamless integration of algorithms into production systems. You may explore emerging areas such as LLM-based agents, retrieval-augmented systems, and tool-oriented reasoning to improve internal workflows or data operations. Minimum Qualifications: - Strong foundation in computer vision with deep learning-based models and areas such as detection, segmentation, 3D vision, geometric methods, tracking, or self-supervised learning. - Hands-on experience with PyTorch or TensorFlow. - Experience building or optimizing large-scale data pipelines (distributed ETL, dataset generation, annotation workflows, data validation, high-throughput processing). - Proficiency in Python or C++ for algorithm development and data processing. - Experience with distributed computing frameworks (Spark, Ray, or equivalent). Preferred Qualifications: - PhD in a relevant field related to computer vision, large-scale data systems, or multimodal learning. - Experience designing or evaluating agentic systems, including LLM-powered tools, RAG pipelines, or automated data reasoning wo