AIML - Technical Process Engineer, Data Operations

A technology company that creates extraordinary products, services, and customer experiences.
Data
Mid-Level Software Engineer
In-Person
AI
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Description For AIML - Technical Process Engineer, Data Operations

At Apple, innovation is at the core of everything they do, where new ideas rapidly transform into extraordinary products, services, and customer experiences. The AIML Data Operations team offers a dynamic, fast-paced environment where you'll work across Apple's ecosystem to deliver high-quality annotated data. As a Technical Process Engineer in Data Operations, you'll leverage your technical expertise to design and optimize data annotation processes, supporting teams working on both unreleased products and existing features. The role combines technical skills in SQL, Python, and scripting with high emotional intelligence, requiring collaboration with diverse teams across Apple's technical and non-technical domains. You'll be responsible for creating and maintaining tools that support data annotation workflows, ensuring scalability, efficiency, and high-quality data pipelines. This position offers the unique opportunity to impact Apple's machine learning technology initiatives while working with cutting-edge projects. The ideal candidate will thrive in a collaborative environment, possess strong technical capabilities, and have a passion for process optimization and tool development. Success in this role means becoming a trusted partner for teams across Apple, delivering efficient, high-quality annotated data that drives innovation in machine learning technology.

Last updated 3 months ago

Responsibilities For AIML - Technical Process Engineer, Data Operations

  • Develop and maintain tooling solutions for data annotation and labeling workflows
  • Automate and optimize annotation processes through custom scripts and automation frameworks
  • Partner with teams to understand annotation requirements and develop tools
  • Communicate with non-technical stakeholders
  • Ensure annotation tooling integrates with data quality checks
  • Modify and customize existing tools for scalability and performance
  • Monitor performance of annotation tools and workflows
  • Create and maintain documentation for tools and processes
  • Establish best practices for annotation tooling development
  • Identify and resolve risks or bottlenecks in annotation tooling workflow
  • Troubleshoot issues with annotation tools and data pipelines

Requirements For AIML - Technical Process Engineer, Data Operations

Python
  • Experience with SQL and Python programming
  • Strong communication skills with technical and non-technical stakeholders
  • Knowledge of data annotation and labeling processes
  • Experience with automation and scripting
  • Documentation and process optimization skills

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