AIML - Software Engineer - AI, Evaluation

Cupertino, CA, US • Posted 2 days ago • Updated 1 hour ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Build Tools
  • System Integration Testing
  • Modeling
  • Software Design
  • Product Launch
  • Computer Science
  • Machine Learning (ML)
  • Python
  • Software Engineering
  • Systems Design
  • API
  • Continuous Integration
  • Continuous Delivery
  • Testing
  • System Monitoring
  • Debugging
  • Artificial Intelligence
  • Workflow
  • Software Development
  • Communication
  • Machine Learning Operations (ML Ops)
  • Lifecycle Management
  • Evaluation
  • Product Requirements

Summary

Do you get excited by building software systems to enhance the automatic evaluation of various Apple AI products? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search, Siri to the latest Apple Intelligence capabilities. Our team specializes in building LLM-as-judge and related tools to improve both the quality and efficiency of these evaluations. We are seeking a highly innovative and passionate AI software engineer to expand our tools and systems. \\n\\n

As an AI Software Engineer on the team, you will design and build tools and systems that sit at the intersection of AI modeling, software engineering, and product quality. You will design and develop extensible frameworks, pipelines, and tools that enable efficient development, deployment, and qualitative measurement of AI models. Due to the breadth of products supported, the role requires strong software design and engineering skills. Your work will directly influence product launch decisions and enable teams across Apple to iterate faster and with greater confidence.\n\n

BS/MS/PhD degree in Computer Science, Machine Learning, AI, or a related field.\nExceptional Python skills.\nSolid software engineering fundamentals with production experience, including system design, API design, CI/CD, testing strategies, code maintainability, system monitoring, debugging complex systems and etc.\nDemonstrated expertise in using AI-assisted software development workflows to accelerate software development while maintaining code quality.\nStrong communication skills and proven ability to work collaboratively with cross-functional teams.\n\n\n

Experience with building LLM applications, frameworks, and offline evaluations.\nFamiliar with MLOps principles for model lifecycle management.\nExperience in building scalable tools for product quality evaluation. \nAbility to understand and interpret evaluation reports, including metrics such as precision, recall, run-to-run consistency, and common pitfalls like data leakage.\nProduct-minded, with a strong ability to translate ambiguous product requirements into solutions.\n
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 4ec1158f638345ee3c5839b1511240d9
  • Posted 2 days ago
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