Senior Machine Learning Engineer – Large Language Model (LLM) Development and Optimization – Apple
Job Description
As a Senior Machine Learning Engineer, your mission will be to lead advancements in Siri’s language understanding capabilities using state-of-the-art LLM technologies. Your responsibilities will include:Designing and developing the foundational agentic system that enables Siri to translate natural language queries into tool calls and engage in multi-turn conversations with users. Collaborating with researchers, software engineers, and product designers to integrate AI innovations into Siri’s user experience. Staying at the forefront of research in LLMs, NLP, and AI, and converting cutting-edge advancements into practical, user-facing improvements.If you are passionate about pushing the limits of conversational AI and want to see your work impact millions of users globally, we’d love to hear from you.
- Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related quantitative field; or a BSc with 3+ years of relevant industry experience.
- Strong proficiency in Python and ML frameworks such as PyTorch and Hugging Face.
- Proven ability to design and implement scalable ML pipelines, including preprocessing, training, and deployment in production.
- Excellent problem-solving, analytical, and collaborative skills.
- Solid understanding of NLP evaluation metrics, with experience benchmarking and optimizing model performance.
- Hands-on experience building and deploying large-scale machine learning models, particularly in generative AI, LLMs, Retrieval-Augmented Generation (RAG), or agentic systems.
- Expertise in data generation and augmentation, including synthetic data creation, active learning strategies, and constructing robust datasets for model training.
- Published research or notable contributions in LLMs, NLP, or AI is highly desirable.
