AIML - Backend Engineer, Measurement

1 Month ago • All levels • Research Development • $121,900 PA - $214,500 PA

Job Summary

Job Description

As a Backend Engineer in AIML Measurement, you will develop and maintain systems to assess the quality and safety of Apple Intelligence, ensuring AI/ML models meet the highest standards. You will create robust data pipelines and analytics tools to generate actionable insights from vast datasets, driving informed decision-making. You will also implement processes and frameworks for the continuous quality improvement of Apple Intelligence, fostering excellence and reliability. You will design and implement scalable backend systems to support measurement and optimization efforts, ensuring performance and reliability. Additionally, you will work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions. Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease. Continuously seek ways to enhance measurement frameworks, adopting best practices and integrating the latest advancements in technology.
Must have:
  • Develop and maintain systems for AI/ML model quality assessment.
  • Create data pipelines and analytics tools.
  • Implement quality improvement processes for AI.
  • Design and implement scalable backend systems.
  • Collaborate with cross-functional teams.

Job Details

As a Backend Engineer in AIML Measurement, you will: - Develop and maintain systems to assess the quality and safety of Apple Intelligence, ensuring our AI/ML models meet the highest standards. - Create robust data pipelines and analytics tools to generate actionable insights from vast datasets, driving informed decision-making. - Implement processes and frameworks for the continuous quality improvement of Apple Intelligence, fostering excellence and reliability. - Design and implement scalable backend systems that support measurement and optimization efforts, ensuring performance and reliability. - Work closely with data scientists, frontend engineers, product managers, and other stakeholders to define metrics, gather requirements, and deliver impactful solutions. - Ensure backend services are scalable, efficient, and secure, handling large volumes of data with ease. - Continuously seek ways to enhance measurement frameworks, adopting best practices and integrating the latest advancements in technology.

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