Cupertino, California, United States Description As a member of our team, you’ll have the opportunity to work with highly skilled engineers and scientists to enhance Apple Maps. This role requires a self-motivated engineer/scientist with strong technical and interpersonal skills. Responsibilities include converting high-level goals into concrete requirements, proposing, implementing, evaluating, and deploying AI/ML technologies, and collaborating with partners including engineering teams and designers to architect optimal systems. Minimum Qualifications 5+ years of experience in building large-scale machine learning systems 2+ years in ML areas such as generative AI models (Transformers, LLMs, VLMs), NLP, or Computer Vision Understanding of machine learning algorithms, supervised and unsupervised techniques, and performance metrics Experience with large-scale, real-world datasets Knowledge of deep learning, computer vision, topic modeling, graph algorithms is a plus Focus on metrics and delivering high-quality models Strong programming skills with tools like PyTorch, TensorFlow, Scikit-learn; proficiency in Scala, Python, Java, or C++ Familiarity with big data technologies such as Spark, Hadoop, Solr/Lucene, Cassandra Preferred Qualifications Masters or PhD in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Experience with multi-modal foundation models and state-of-the-art approaches Experience deploying complex AI systems, including research and generative AI models Strong problem-solving and communication skills Apple offers a comprehensive compensation package, including base pay ranging from $147,400 to $272,100, influenced by skills and experience. Employees may participate in stock programs, receive benefits such as medical coverage, retirement plans, discounts, educational reimbursement, bonuses, and relocation support. For more details, see Apple Benefits. Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected characteristics. Learn more about your EEO rights.

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