Internship - Annotation Acceleration

Apple

3.7

(120)

Heidelberg, Germany

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.
  • #200579604_EN-2

    Position summary

    tation process, with the goal of optimizing our solutions for efficiency. You will delve into effects like anomaly detection and annotation bias induced by ML models, contributing your findings to the improvement of our systems. This internship offers a unique chance to gain hands-on experience in applying machine learning to solve real-world challenges in the field of data annotation. You will collaborate with a talented team of AIML professionals. To be considered for this role, you should have a strong background in machine learning and a passion for research and development. Proficiency in Python or other programming languages, along with experience in data analysis and experimentation, is essential.

    Minimum Qualifications

    • Strong master's or PhD student in Machine Learning or Computer Science with specialization in ML.

    • Advanced understanding of classical or deep machine learning techniques.

    • Fluency in Python and at least one lower level language (Go, Rust, C++, etc.)

    • Excellent statistics skills

    Preferred Qualifications

    • Plus: Experience in data annotation, crowd sourcing or design of experiments.
    • Active learning / optimal experimental design
    • Uncertainty estimation in ML Models (e.g. sensitivity analysis, dropout based techniques, fisher information, etc.)
    • ML for anomaly detection

    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.