Ph.D. or Master’s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications
5+ years of experience building AI-powered systems with a strong grasp of architecture and deployment
Experience designing and delivering NLP/LLM-based systems, with knowledge of multi-modal and agentic AI frameworks
Proficiency with Python, ML libraries (PyTorch, TensorFlow, Transformers), and vector search engines (e.g., FAISS, Weaviate)
Experience architecting on cloud platforms (AWS, GCP, or Azure)
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex), containerization (Docker, Kubernetes), and scalable APIs
Excellent communication skills with the ability to translate technical concepts into business terms
Experience leading zero-to-one initiatives for AI product development
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.