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  3. AI/ML Engineer, Applied Data Science

AI/ML Engineer, Applied Data Science

Apple
Posted a month ago, valid for 21 hours
Location

Cupertino, CA 95015, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking an AI/ML Engineer to develop and scale AI capabilities for its Legal Operations team.
  • The role requires a minimum of 4 years of experience in AI/ML engineering or related fields, with strong proficiency in Python and ML frameworks.
  • Candidates should have experience with LLM APIs, RAG architectures, and prompt engineering techniques.
  • The position involves taking AI systems from prototype to production, ensuring reliability and scalability in real-world applications.
  • Salary details are not specified, but the role is critical for building production-grade AI tools that support attorneys globally.
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Are you passionate about taking AI from prototype to production at scale? Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding? Can you build AI systems that are not just impressive demos, but reliable production tools? The Applied Data Science team within Legal Operations is building production-grade AI for a global legal organization. The AI/ML Engineer role is central to this mission — prototyping AI solutions, then scaling them to production systems that attorneys rely on every day.

Description


The AI/ML Engineer builds AI capabilities from prototype to production. You will develop prompt engineering solutions, RAG pipelines, AI agents, and evaluation frameworks — starting with rapid prototypes to validate use cases, then engineering them into scalable, production-grade systems. This role requires both the creativity to explore what's possible and the rigor to build what's reliable.

Minimum Qualifications


4+ years of delivering solutions in AI/ML engineering, NLP, or related roles Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar) Experience with LLM APIs (OpenAI, Anthropic, or similar) 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 Supporting AI applications in production

Preferred Qualifications


Experience with LangChain, LlamaIndex, or similar LLM orchestration frameworks Experience with agentic AI frameworks (LangGraph, CrewAI, or similar) Familiarity with knowledge graphs and GraphRAG patterns Experience with AI evaluation tools (RAGAS, DeepEval, or similar) Knowledge of legal domain and legal NLP applications Experience with guardrails and safety frameworks (Guardrails AI, NeMo Guardrails) Understanding of MCP (Model Context Protocol) or similar integration patterns Experience deploying and monitoring AI systems at scale Track record of shipping AI products that users rely on


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