Machine Learning Engineer - Agentic AI
Apple
- Location
- Onsite (Sunnyvale, California)
- Employment
- Full-time
- Level
- Senior Level
Posted 2 weeks ago
About the role
Apple's VCV organization is seeking an experienced engineer to design and build end-to-end agentic systems that integrate large language models and data systems. This role focuses on creating reliable, scalable production environments that execute multi-step workflows, balancing latency, cost, and accuracy to enhance device autonomy.
Skills
Machine Learning
Agentic Systems
Large Language Models
System Design
Full-stack Development
Python
AI Tools
Data Systems
Production Environments
Software Engineering
Architecture Design
Scalable Systems
Workflow Automation
Latency Optimization
Model Controllability
Full job details
The VCV organization has pioneered human-centric, real-time technologies such as Face ID, FaceKit, and gaze and hand gesture control, transforming how millions of people interact with their devices by balancing research and product requirements to deliver Apple-quality experiences through full-stack innovation and close collaboration across HW, SW, and AI teams. Our team develops and integrates large language models (LLMs) and other cutting-edge AI techniques to enhance the autonomy and intelligence of our agentic systems.
We are looking for an experienced engineer to design and build end-to-end agentic systems. This role focuses on developing systems that integrate large language models, tools, and data systems to execute multi-step workflows in production environments. You will work across the full stack to translate complex problems into reliable, scalable systems.
You will design and implement agentic systems built around large language models (LLMs) that extend beyond traditional machine learning pipelines. The work will require making tradeoffs between latency, cost, accuracy, and controllability, including decisions between deterministic pipelines and adaptive, LLM-driven approaches within agentic system design.
Minimum requirement of a bachelors degree. Proven knowledge of cutting-edge agentic systems. Demonstrated experience designing and shipping agentic systems in production environments. Strong proficiency with LLM-assisted coding, including using AI tools to design, implement, and iterate on complex systems.
Strong system design experience, including defining and evolving architecture for complex, multi-component systems. Experience taking products from concept to launch, including delivering user-facing applications at scale or in real-world environments.
Description
You will design and implement agentic systems built around large language models (LLMs) that extend beyond traditional machine learning pipelines. The work will require making tradeoffs between latency, cost, accuracy, and controllability, including decisions between deterministic pipelines and adaptive, LLM-driven approaches within agentic system design.
Minimum Qualifications
Minimum requirement of a bachelors degree. Proven knowledge of cutting-edge agentic systems. Demonstrated experience designing and shipping agentic systems in production environments. Strong proficiency with LLM-assisted coding, including using AI tools to design, implement, and iterate on complex systems.
Preferred Qualifications
Strong system design experience, including defining and evolving architecture for complex, multi-component systems. Experience taking products from concept to launch, including delivering user-facing applications at scale or in real-world environments.