AIML - Senior ML Engineer, Generative AI - Siri Comprehension & Planning

AIML - Senior ML Engineer, Generative AI - Siri Comprehension & Planning Sunnyvale, California, United States Machine Learning and AI The Siri team is looking for passionate Machine Learning Engineers to join us in developing and shipping innovative technology to advance Siri and Apple Intelligence for Apple’s customers. Siri is being elevated by the huge opportunities that AI brings. The team is responsible for training on-device & cloud models, evaluating various approaches, opening boundaries with the latest generative AI research developments, and ultimately delivering product critical models that power Siri and Apple Intelligence experiences. These models ship across a wide range of products at Apple, including iPhone, Mac, Apple Watch and more, enabling millions of people around the world to get things done every day. Our team provides an opportunity to be part of an incredible research and engineering organization at Apple. By joining the team, you will work with highly talented machine learning researchers and engineers, and work on meaningful, challenging and novel problems. Description As a machine learning engineer on our team, you will play a key role in our development. You will have responsibilities ranging from model design, implementation, training, model iteration, researching and experimenting with new ideas and evaluation. You will apply pioneering generative AI and machine learning methods to continually advance Siri’s capabilities. At Apple, you will have the opportunity to collaborate with many dynamic, multi-functional teams across research, product and software. The ideal candidate will have a passion for applied research, strong modeling skills, good software engineering skills, and a desire to get things done. The team innovates on innovative generative AI and machine learning technology to deliver outstanding products to customers. If that appeals to you, we can’t wait to hear from you. Minimum Qualifications 5+ years of hands-on industry experience developing deep learning systems: training (and finetuning) models, designing model architectures, researching/experimenting with new ideas, defining and creating metrics, building datasets and performing error triages. Deep understanding of Generative AI techniques/literature and proven track record of training (or deploying) LLMs/MLLMs to solve complex problems. Proficiency in Python and one of the deep learning frameworks (such as PyTorch, JAX, or TensorFlow). Excellent communication: strong interpersonal, verbal and written skills. Masters or PhD in Computer Science, Machine Learning, Engineering or equivalent professional experience. Key Qualifications Preferred Qualifications Demonstrated experience with building AI agents, LLMs for tool use, AudioLLMs and Multimodal-LLMs. Experience creating and maintaining large scale, robust machine learning systems and infrastructure for data, modeling and metrics for use in multi-person team setting. Experience developing, shipping and improving machine learning models in a production environment or a solid publication record in top-tier conferences like NeurIPS, ICML, ICLR, ICRA etc.

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