The AI/ML Engineer role at Apple is focused on building production-grade AI solutions for the Legal Operations team. This position involves taking AI systems from prototype to production, ensuring they are reliable tools for attorneys. The engineer will work on prompt engineering, retrieval optimization, and developing scalable AI capabilities. Creativity and rigor are essential to explore possibilities and build dependable systems.

• 4+ years of delivering solutions in AI/ML engineering, NLP, or related roles
• Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Experience with LLM APIs like OpenAI or Anthropic
• Experience with RAG architectures and vector databases
• Understanding of prompt engineering techniques and best practices
• Experience taking AI systems from prototype to production
• Experience with evaluation frameworks for AI systems
• Familiarity with knowledge graphs and GraphRAG patterns
• Experience with AI evaluation tools such as RAGAS or DeepEval
• Knowledge of the legal domain and legal NLP applications
• Experience with guardrails and safety frameworks like Guardrails AI
• Understanding of MCP or similar integration patterns
• Experience deploying and monitoring AI systems at scale

• Prototype AI solutions and scale them to production systems
• Develop prompt engineering solutions and RAG pipelines
• Create AI agents and evaluation frameworks
• Validate use cases with rapid prototypes
• Engineer scalable, production-grade AI systems
• Support AI applications in production

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.