AIML - Backend Engineer, Evaluation

1 Month ago • All levels • Research Development

Job Summary

Job Description

As a Backend Engineer in AIML Evaluation, you will be responsible for developing and maintaining systems to assess the quality and safety of Apple Intelligence, ensuring AI/ML models meet the highest standards. You will create data pipelines and analytics tools to generate actionable insights from vast datasets, driving informed decision-making, and implement processes and frameworks for the continuous quality improvement of Apple Intelligence. Additionally, you will design and implement scalable backend systems that support evaluation and optimization efforts. Collaboration with data scientists, frontend engineers, product managers, and other stakeholders is essential to define metrics and deliver solutions. Ensuring backend services are scalable, efficient, and secure, and continuously seeking ways to enhance evaluation frameworks using the latest advancements in technology.
Must have:
  • Develop and maintain systems to assess the quality and safety of Apple Intelligence.
  • Create robust data pipelines and analytics tools for actionable insights.
  • Implement processes for continuous quality improvement of Apple Intelligence.
  • Design and implement scalable backend systems for evaluation.
  • Work closely with various stakeholders to define metrics and deliver solutions.

Job Details

As a Backend Engineer in AIML Evaluation, 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 evaluation 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 evaluation frameworks, adopting best practices and integrating the latest advancements in technology.

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