Internship - Annotation Acceleration

**Summary**

Posted: 19. Nov 2024

Weekly Hours**:40**

Role Number**:200579604**

Play a part in building the next revolution of machine learning technology. We're looking for passionate researchers in the final years of their post-graduate studies to work on ambitious curiosity-driven research projects that will impact the future of Apple, and our products, through applied machine learning. In this role, you'll have the opportunity to work on innovative solutions in the space of data annotation. As a member of the team, you will be passionate about a variety of exciting problems, collaborate with world-class software and machine learning engineers to develop and implement intelligent solutions to enhance our data annotation processes.

**Description**

**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

**Additional Requirements**

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