Machine Learning Research Engineer - Large Language Models (LLMs), Siri Planner Team

Apple • Cupertino, CA

67d

About The Position

Join the Siri Planner team as a Machine Learning Research Engineer and play a pivotal role in shaping the future of virtual assistants. You'll contribute to revolutionizing how millions of Siri users worldwide interact with their Apple devices by building ground breaking AI solutions. As a Machine Learning Research Engineer, you will help with initiatives to significantly advance Siri's natural language understanding and planning capabilities using innovative LLM technologies.

Requirements

• Proven hands-on experience in machine learning engineering for large-scale models, with a strong focus on generative AI, LLMs, Retrieval Augmented Generation (RAG), or agentic systems.
• Applying LLMs for synthetic data generation (e.g. for knowledge distillation) or applying reinforcement learning for post-training or fine-tuning of LLMs.
• A successful track record of building and deploying end-to-end ML data pipelines (data preparation, storage, training, and inference) in cloud or on-premise environments.
• Experience with training, fine-tuning, and deploying LLMs in production environments.
• Proficiency in evaluating LLMs for specific product tasks and performance metrics.

Responsibilities

• Developing innovative systems for synthetic training data generation and implementing strategies for the continuous optimization of model performance.
• Designing and implementing agentic workflows and RAG systems to enhance Siri's capabilities.
• Optimizing model performance for tool calling and reasoning tasks.
• Actively staying at the forefront of academic and industry research in LLMs, NLP, and agentic systems, and translating novel insights into practical solutions.
• Collaborating closely with a multidisciplinary team of researchers, software engineers, and product designers to seamlessly integrate AI innovations into the Siri user experience.

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees