Apple is looking to solve the problem of developing next-generation intelligent agents that can reason, plan, and interact with people through natural voice and multimodal experiences, by building scalable LLM reasoning systems.
Requirements
- 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
- 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
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
Other
- Bachelor’s degree in Computer Science, Machine Learning, or related quantitative field, with 4+ years of relevant industry experience
- Ability to balance long-term platform vision with pragmatic short-term delivery in fast-paced environments
- MS or PhD in Computer Science, Machine Learning, or a related field
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
- Relocation might be eligible for discretionary bonuses or commission payments
