Machine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling
AppleAbout the role
Join a pioneering team shaping the future of voice-first, agentic platforms. As a Senior Machine Learning Engineer, you'll help define how next-generation intelligent agents reason, plan, and interact with people through natural voice and multimodal experiences. You will develop the foundations of scalable LLM reasoning systems that will power the next wave of human–AI interaction.
As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by next-generation Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.
Responsibilities
- Develop core reasoning and simulation capabilities for agentic voice experiences
- Work on advancing how LLMs plan, adapt, and evaluate actions in realistic environments
- Contribute to the development of reliable and trustworthy AI agents
- Develop robust infrastructure and tooling for training, simulation, and evaluation of agentic LLMs
- Design and run experiments in simulated environments
- Build scalable evaluation pipelines
- Help integrate agent behaviors across client and backend systems
- Collaborate closely with ML scientists, applied researchers, and product engineers to transform early research into deployable systems
- Push the boundaries of reasoning, adaptive behavior, and platform architecture for agent-based intelligence
Minimum qualifications
- Bachelor's degree in Computer Science, Machine Learning, or related quantitative field, with 3+ years of relevant industry experience
- Strong skills in Python (preferred) and at least one other programming language
- Proven experience in ML engineering, including system design, training pipelines, and deployment workflows
- Deep understanding of agent-based simulation, agentic RAG systems, and LLM evaluation methodologies
- Ability to balance long-term platform vision with pragmatic short-term delivery in fast-paced environments
Preferred qualifications
- Experience deploying LLM models in research or production contexts
- Knowledge of adaptive feedback loops, reinforcement learning, or interactive agent design
- Familiarity with client-backend integration for AI-driven applications
- MS or PhD in Computer Science, Machine Learning, or a related field
About Apple
Apple Inc. designs, develops, and sells consumer electronics, computer software, and online services. The company creates integrated hardware, software, and services including iPhones, Macs, iPads, Apple Watches, and services like App Store, Apple Music, Apple TV+, and Apple Pay.
Interested in this role?
Apply now to join Apple.