AIML Evaluation - Senior ML Engineer

Apple

3.7

(120)

Madrid, Spain

Why you should apply for a job to Apple:

  • 66% say women are treated fairly and equally to men
  • 66% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy.
  • Apple University creates classes, seminars, and tools to help employees understand Apple’s culture, organization, and values.
  • Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.
  • #200620354-1813_EN_rxr-658

    Position summary

    illed engineers building scalable systems and frameworks for end-to-end (E2E) evaluation of Apple Intelligence products such as Siri. Your work will be critical in validating the performance and reliability of unreleased software and models, ensuring that Siri and Apple Intelligence continues to set the standard for intelligent voice assistants. The position requires a motivated, technically qualified Senior ML Engineer with the ability to coordinate work between multiple teams across different time zones and geographical locations. A strong understanding of ML evaluation strategies, software lifecycle, excellent problem-solving and communication skills are also required.

    Preferred Qualifications
    Experience working on voice assistants, NLP systems, or real-time AI-powered applications.

    Experience designing and scaling systems for software validation, quality assessment, or ML model evaluation.

    Strong organizational skills and problem solving skills on large cross functional team.

    B.S. in Computer Science or equivalent required. M.S or Ph.D preferred.

    Minimum Qualifications
    Proven experience in implementation and evaluation of large scale, AI based, solutions.

    Experience crafting evaluation datasets and strategies for ML based products.

    Experience in Large Language Models usage and benchmarking.

    Strong programming background in Python, Swift, or similar languages, with a focus on Machine Learning, test automation, or data tooling.

    At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

    Why you should apply for a job to Apple:

  • 66% say women are treated fairly and equally to men
  • 66% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Company commitment that women earn the same as men performing similar work includes no salary history disclosure policy.
  • Apple University creates classes, seminars, and tools to help employees understand Apple’s culture, organization, and values.
  • Whether you donate time or money, Apple will match charitable contributions up to $10,000 a year.