Apple-posted 2 months ago
Full-time • Senior
Seattle, WA
5,001-10,000 employees
Computer and Electronic Product Manufacturing

Do you want to help shape the future of AI at Apple? Our team, part of Apple Services Engineering's (ASE) Human Centered AI Research organization, pioneers new methods and tools for AI evaluation. We are seeking a Senior or Staff Platform Engineer to develop systems that will transform evaluation research and methods into compounding advantages for teams across our division. You will help build tools that accelerate our team's research and empower the entire organization to build and evaluate AI more effectively. As a technical leader, you'll help set engineering standards for evaluation systems across ASE and mentor researchers and engineers on best practices for AI tooling. In this role, you will architect and build core evaluation frameworks, systems, and tools that empower applied research and accelerate AI development. Your work will help researchers and developers close the gap between prototypes and production-grade capabilities, giving them a stable foundation to build on and enabling them to iterate more quickly and produce more durable work. The tools you will develop will serve as the primary delivery mechanism for evaluation research innovations, distributing them to partner teams across the organization. This will involve deep collaboration with researchers, developers, engineers, and other users to understand their needs and ensure that solutions are easy to adopt and scalable. This is an opportunity to help build foundational systems and tools that translate cutting-edge methods and proven best practices into reliable, production-ready tools for development teams across ASE and partner organizations.

  • Architect and build core evaluation frameworks, systems, and tools for AI evaluation.
  • Collaborate with researchers, developers, and engineers to understand their needs.
  • Set engineering standards for evaluation systems across ASE.
  • Mentor researchers and engineers on best practices for AI tooling.
  • Develop tools that accelerate research and empower the organization to build and evaluate AI effectively.
  • Ensure solutions are easy to adopt and scalable.
  • Practical experience building or evaluating applications powered by large language models (e.g., using agentic frameworks, rag, or similar techniques).
  • Experience designing platforms or frameworks that shorten the path from prototype to production.
  • Familiarity with distributed data processing (e.g., Spark, Dask, PySpark) and large-scale compute for AI workloads.
  • Experience with inference optimization frameworks (e.g. vLLM, TensorRT-LLM).
  • Experience with LLM orchestration frameworks (e.g. LangChain, LangGraph).
  • Contributions to or deep engagement with open-source developer tooling or ML frameworks.
  • Experience mentoring other engineers and raising a team's engineering standards.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service