10 hours ago
Responsibilities
- Lead engineering projects across the AI/ML stack and deliver production software with modeling, infrastructure, and product teams.
- Build model inference services, shared ML infrastructure, and integrations connecting models to customer-facing products.
- Enable distributed training, fine-tuning, data processing, deployment, and device-to-cloud workflows.
- Make architectural decisions, design component interfaces, extend open-source infrastructure, and resolve performance, reliability, compute, and deployment constraints.
- Investigate performance and reliability issues using measured results and drive improvements.
- Lead technical initiatives across teams, resolve architectural tradeoffs, and communicate technical decisions clearly.
Requirements
- Experience shipping production ML systems or ML-powered applications with ownership of significant architecture and implementation decisions.
- Deep expertise in model inference, distributed computing, ML infrastructure, data systems for ML, or a related area.
- Strong programming and software engineering skills, including system design, API design, testing, and debugging complex software.
- Practical experience integrating ML models into software systems and understanding execution and deployment requirements.
- Experience leading technical initiatives across teams and delivering working systems.
- Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or Electronic Engineering plus 12+ years of relevant work experience.
- Preferred experience includes Ray or comparable distributed ML systems, ONNX Runtime or Core ML, distributed training and fine-tuning, Spark or Flink, Go, Swift, Python, and on-device/cloud ML integration.
- A preferred alternative is a master’s degree in a listed technical field plus 8+ years of relevant work experience; experience with LangGraph, Model Context Protocol, or related agent workflow tools is an additional plus.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.