Machine Learning Research Engineer - Large Language Models (LLMs), Siri Core Modeling

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.

Description

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.

YOUR CORE RESPONSIBILITIES WILL INCLUDE:

• 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.

Preferred Qualifications

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.

Minimum Qualifications

Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related quantitative field; or BSc with 2+ years of relevant industry experience

Hands on experience in machine learning engineering outside of research

Strong Python proficiency, including development, debugging, and design, coupled with extensive experience using ML frameworks (e.g. PyTorch, Jax, HuggingFace)

Excellent problem-solving, critical thinking, and interpersonal skills, with a collaborative attitude

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .