AI/ML- ML Internship (Annotation Acceleration), MLPT

Heidelberg, Baden-Wurttemberg, Germany
Students

Summary

Posted:
Weekly Hours: 40
Role Number:200196333
We are looking for highly motivated talent to shape how Apple crafts machine learning datasets at scale. Apple’s annotation platform teams build the tools that allow machine learning engineers and researchers across Apple to create datasets that enable the amazing intelligent experiences on our current and future Apple devices. We seek individuals with a passion for data and a desire to understand and tackle the intricate challenges involved in generating large, high-quality datasets for a wide array of sophisticated machine learning problems.

Key Qualifications

  • Strong understanding of classical and deep machine learning techniques
  • Excellent statistics skills
  • Specialisation in at least one of the following topics: active learning, efficient experimental design, interactive algorithms such as interactive rotoscoping, semantic segmentation, uncertainty estimation in ML models (e.g. sensitivity analysis, dropout based techniques, fisher information, etc.)
  • Proficiency in Python and at least one lower level language (Go, Rust, C++, etc.)
  • Ability to explain and present deep technical ideas

Description

As part of the ML platform team, your research will focus on intelligent, cutting edge approaches to accelerate data annotation without compromising data quality. You will have the opportunity to collaborate with teams across Apple, who are working on the most sophisticated intelligent applications in the world. You will also be involved in designing and implementing methods that will accelerate the process of generating annotated data and conduct and evaluate experiments to show quantitative improvements of annotation efficiency in terms of Pareto-optimal improvements over a variety of performance metrics. Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programmes. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount — both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programmes that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programmes vary by country and are subject to eligibility requirements. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.

Education & Experience

Pursuing a PhD in computer vision, machine learning, applied mathematics, mathematically inclined computer science or statistics.

Additional Requirements

  • Previous experience in data annotation, crowd sourcing or design of experiments.
  • Experience in visualising complex data.