Job Description

Locations

• Cupertino, California, United States 95014

Salary

Skills Required

• Machine Learning Researchintermediate
• Natural Language Understandingintermediate
• LLM Technologiesintermediate
• Synthetic Training Data Generationintermediate
• Model Performance Optimizationintermediate
• Agentic Workflowsintermediate
• RAG Systemsintermediate
• Tool Callingintermediate
• Reasoning Tasksintermediate
• NLPintermediate
• Agentic Systemsintermediate
• Academic Researchintermediate
• Industry Researchintermediate
• AI Integrationintermediate
• Multidisciplinary Collaborationintermediate

Required Qualifications

• Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related quantitative field; or BSc with 5+ years of relevant industry experience. (experience, 5 years)
• 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. (experience)
• Strong Python proficiency, including development, debugging, and design, coupled with extensive experience using ML frameworks (e.g. PyTorch, Jax, HuggingFace). (experience)
• Excellent problem-solving, critical thinking, and interpersonal skills, with a collaborative attitude. (experience)

Preferred Qualifications

• Applying LLMs for synthetic data generation (e.g. for knowledge distillation) or applying reinforcement learning for post-training or fine-tuning of LLMs. (experience)
• 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)
• Experience with training, fine-tuning, and deploying LLMs in production environments. (experience)
• Proficiency in evaluating LLMs for specific product tasks and performance metrics. (experience)

Responsibilities

• As a Senior Machine Learning Research Engineer, you will lead 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.

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