ML Engineer: LLMs, Agent Systems & Simulation Tooling

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Job summary

Apple Inc. is hiring a Machine Learning Engineer focused on LLMs, agent systems, and simulation tooling within Siri Core Modeling.

The role is based in Cupertino, California, engaging in cutting-edge AI that powers voice-first experiences across Apple platforms. You will prototype scalable reasoning for agents, build robust simulation environments, and drive end-to-end ML workflows from research to production, collaborating with ML scientists and product engineers to ship reliable AI

Qualifications

• Bachelor's degree in CS/ML or related quantitative field.
• 3+ years of industry experience in ML engineering or similar roles.
• Strong Python skills and at least one other language.

Responsibilities

• Design scalable simulation and evaluation frameworks for LLM-based agents.
• Collaborate with ML researchers to productionize reasoning approaches.
• Develop infrastructure for training and experimentation with agentic behaviors.
• Integrate agent reasoning into client-side and backend environments.
• Create tooling to accelerate experimentation, prototyping, and deployment.

Skills

Python

ML engineering

System design

Training pipelines

Deployment workflows

Agent-based simulation

LLM evaluation

Education

Bachelor's degree in Computer Science, ML, or related field

Job description

Apple Inc. is hiring a Machine Learning Engineer focused on LLMs, agent systems, and simulation tooling within Siri Core Modeling.

The role is based in Cupertino, California, engaging in cutting-edge AI that powers voice-first experiences across Apple platforms. You will prototype scalable reasoning for agents, build robust simulation environments, and drive end-to-end ML workflows from research to production, collaborating with ML scientists and product engineers to ship reliable AI