Apple
Machine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling
$150K–$278K
Cupertino, California · Full-time · Posted Oct 7, 2026
- Experience
- 3+ years of relevant industry experience.
- Education
- Bachelor’s degree in Computer Science, Machine Learning, or related quantitative field.
About the job
Build scalable reasoning, simulation, training, and evaluation systems for LLM-based agents powering voice-driven experiences, and integrate agent capabilities into client and backend systems.
What you'll do
- Design simulation and evaluation frameworks for LLM-based agents.
- Build infrastructure and tooling for agent training, experimentation, and deployment.
- Translate research into production systems and integrate agent reasoning into client-side and backend environments.
What they ask for
- Bachelor’s degree in Computer Science, Machine Learning, or a related quantitative field.
- Strong skills in Python (preferred) and at least one other programming language.
- Experience in ML engineering, including system design, training pipelines, and deployment workflows.
- Understanding of agent-based simulation, agentic RAG systems, and LLM evaluation methodologies.
Nice to have
- 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; or an MS or PhD in a related field.
Pay
$150,400 to $277,600 USD base salary
Tools
Python, LLM
AI focus
Develop and evaluate LLM-based agents, including reasoning, planning, adaptive behavior, simulation, and agentic voice experiences.
Model-written summary · the original posting is authoritative