Role overview
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.
What we're looking for
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
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