Apple’s job search page for the Software and Services team filtered to Machine Learning and Artificial Intelligence lists 255 openings across multiple cities and disciplines. The roles range from core infrastructure and frameworks to product-facing engineering and program management, underscoring Apple’s push to scale Apple Intelligence and related technologies. Postings span Cupertino, Seattle, Culver City, Sunnyvale, Austin, Cambridge, and Beijing, with weekly hours listed at 40.
Infrastructure and platform roles feature prominently. An “AIML- Software Engineer, ML Platform & Infrastructure” role in Seattle describes back-end systems that power Apple Intelligence, including large Apple foundation models and services for search and natural language processing. Several positions focus on on-device machine learning and performance, such as “On-device ML Infrastructure Engineer (ML Performance Visualization)” in Seattle, and Metal-centric roles including “GPU Machine Learning Developer Tools Engineer” and “Metal GPU Compiler Driver Engineer,” both in Cupertino. The ML Frameworks (MetalLM) team in Cupertino highlights enabling Apple Intelligence through high-performance, distributed inference of generative Artificial Intelligence applications, as well as GPU acceleration for training frameworks like PyTorch and JAX in data centers using Apple silicon.
Multiple postings tie directly to flagship Apple experiences. Siri-focused roles include “Senior ML Engineer – Evaluation Automation” in Cupertino, which leads evaluation of features powered by Apple’s latest language models, and a “Language Engineer” in Beijing within the Global Siri team working on machine learning and natural language processing across 40-plus languages. Visual generative modeling roles in Sunnyvale and Seattle aim to optimize image generation behind Image Playground, Genmoji, Image Wand, and Photos Clean Up in Apple Intelligence. Additional applied roles include a “Large Language Model Machine Learning Engineer” in Seattle, and “Sr. Applied ML Engineer, Apple Services Localization Engineering” in Seattle, which leverages machine learning and machine translation for Apple Music, App Store, Apple TV, Apple Fitness+, Apple Podcasts, and Apple Books.
Business and operations roles round out the listings. “MBP Operations, AIML Program Manager” appears in Cupertino and Culver City, focusing on Services Operations for Apple Media Products and project prioritization and financial analyses. On the advertising side, Cupertino-based “Product Manager, Apple Ads Predictions” and “Senior Machine Learning Manager – Matching, Ad Platforms” emphasize privacy-respecting, high-scale systems across Apple Services. The Cambridge-based “Audio Algorithm R&D Manager” role sits within Audio and Media Technologies for features like FaceTime, Siri, and spatial audio across Apple devices. There are also adjacent software opportunities such as a “UI Software Engineer – Supply Chain Solutions” in Austin. Most listings were posted May 28 through June 2, 2025, and include role numbers and “Submit Resume” links.
