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Internship - Annotation Acceleration jobs at Apple in Germany, Heidelberg
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Germany
Heidelberg
1 jobs found
04.05.2025
A
Apple Internship - Annotation Acceleration Germany, Baden-Württemberg, Heidelberg
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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...
Description:
Your primary responsibility will be to research and experiment with the integration of ML models into the annotation 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.
- 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
- 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
Show more
These jobs might be a good fit
Share
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...
Description:
Your primary responsibility will be to research and experiment with the integration of ML models into the annotation 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.
- 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
- 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
Show more
These jobs might be a good fit
Find your dream job in the high tech industry with Expoint. With our platform you can easily search for Internship - Annotation Acceleration opportunities at Apple in Germany, Heidelberg. Whether you're seeking a new challenge or looking to work with a specific organization in a specific role, Expoint makes it easy to find your perfect job match. Connect with top companies in your desired area and advance your career in the high tech field. Sign up today and take the next step in your career journey with Expoint.