Machine Learning Engineer – LLMs, Agent Systems, and Simulation Tooling, Siri Core Modeling
Core
Building scalable LLM reasoning systems and simulation tooling for next-generation voice-first agentic platforms.
Role type
Senior Machine Learning Engineer (LLMs & Agent Systems)
Builds
Scalable simulation and evaluation frameworks for LLM-based agents; infrastructure for training and experimentation with agentic behaviors.
Domain
Artificial Intelligence / Large Language Models / Agent-based Systems
Deliverable
production ML models
Required skills
Python, system design, training pipelines, deployment workflows, agent-based simulation, agentic RAG systems, LLM evaluation methodologies
Preferred skills
Reinforcement learning, interactive agent design, adaptive feedback loops, client-backend integration for AI applications
Technologies
Python
Responsibilities
Design and implement scalable simulation and evaluation frameworks for LLM-based agents; Collaborate with ML researchers to translate novel reasoning approaches into production-grade systems; Develop infrastructure for training and experimentation with agentic behaviors; Integrate agent reasoning capabilities into client-side and backend environments; Drive iteration speed by creating reliable tooling for experimentation, prototyping, and deployment
Seniority
Senior, hands-on IC
