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# Machine Learning Engineer

- **Company:** Apple Inc.
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Safari (Web Browser), Computer Vision, Computer Programming, Distributed Computing Environment, Machine Learning, Rapid Prototyping Process, Tensorflow, Pytorch, Large Language Models, Deep Learning, Information Technology, Machine Learning Operations
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/machine-learning-engineer-sunnyvale-ca--6433b16c-9458-4ae3-96a8-0d1d710ae81d

## About the Role

Machine Learning, Apple, Leading Edge Technology, Safari Browser, Customer Experience, Training/Teaching, Machine Learning, Product Development, Computer Systems, Music, 4+ years of experience with large language models (LLMs), large multimodal models (LMMs), computer vision, or related AI/ML technologies Experience developing and evaluating machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch, TensorFlow, or JAX Experience building large-scale machine learning systems and working with distributed data processing frameworks Strong problem-solving skills with a results-oriented mindset Experience leading rapid prototyping and proof-of-concept development for AI/ML applications Excellent communication skills, with the ability to work independently and collaborate effectively with cross-functional teams Masters degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent industry experience Experience developing or advancing state-of-the-art LLMs and/or LMMs
Experience with modern deep learning architectures, including Transformers, mixture-of-experts (MoE), and multimodal models Experience deploying and scaling machine learning and deep learning models, including VLMs, for production-scale inference Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, AAAI, KDD) and/or demonstrated significant industry impact in AI