About The Position

Join the ML Systems Evaluation Engineering (ML SEE) team at Apple, where you will play a crucial role in building groundbreaking technology for large scale systems, natural language processing, big data, and artificial intelligence. This position focuses on improving the user experience of Siri and other AIML products that assist millions of people globally. As part of a highly accomplished team, you will evaluate AIML products and develop tools that delight and inspire users. In this role, you will drive the quality of internal AIML products and tools, collaborating with development teams worldwide. The team designs and builds evaluation tools, automation frameworks, and methodologies that empower product teams across Apple to create machine-learning solutions that enhance user experiences. You will engage with new product teams, applying your expertise and passion for innovation to solve technical challenges for next-generation products. As a Build and Integration Software Engineer, you will develop solutions necessary for delivering successful AIML products, including building new tools and processes to improve project efficiency and effectiveness. This role involves implementing tools, APIs, and infrastructure for ML product qualification, defining success metrics to ensure project health, and participating in AIML iOS product roadmap decisions by providing insights based on current success metrics.

Requirements

  • Extensive experience working and leveraging cross-functional partnerships.
  • Ability to independently learn new technologies in a fast-paced environment.
  • Excellent understanding of an ML-based product lifecycle.
  • Proven problem-solving and debugging skills, including analyzing and investigating failures, errors, and build issues.
  • Excellent verbal and written communication skills.
  • Possess an outgoing and positive attitude to mobilize and lead others.

Responsibilities

  • Drive the quality of internal AIML products and tools.
  • Collaborate with development teams around the world.
  • Design and build evaluation tools, automation frameworks, and methodologies for machine-learning solutions.
  • Engage with new product teams to solve technical problems for next-generation products.
  • Develop solutions required for delivering successful AIML products.
  • Build new tools and develop processes to improve project efficiency and effectiveness.
  • Implement necessary tools, APIs, and infrastructure for ML product qualification.
  • Define tracking success metrics to maintain project health.
  • Participate in AIML iOS product roadmap decisions and contribute insights.

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What This Job Offers

Career Level

Mid Level

Industry

Computer and Electronic Product Manufacturing

Number of Employees

5,001-10,000 employees

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