Machine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling
Apple11 hours ago
Responsibilities
- Develop scalable LLM reasoning systems and core simulation capabilities for agentic voice platforms.
- Build infrastructure and tooling for training, simulation, and evaluation of agentic LLMs.
- Design and run experiments in simulated environments.
- Build scalable evaluation pipelines for agent behaviors.
- Integrate agent behaviors across client and backend systems.
- Collaborate with ML scientists, applied researchers, and product engineers to turn research into deployable systems.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, or a related quantitative field.
- At least 3 years of relevant industry experience.
- Strong Python skills and proficiency in at least one other programming language.
- Experience with ML engineering, 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.
- Preferred qualifications include LLM deployment experience, knowledge of adaptive feedback loops or reinforcement learning, familiarity with interactive agent design and client-backend integration, and an MS or PhD in a relevant field.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.