Internship - Annotation Acceleration
Apple
Internship - Annotation Acceleration
Job Description
Application Deadline: Sunday 16th November 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 high-reaching 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 extraordinary software and machine learning engineers to develop and implement intelligent solutions to improve our data annotation processes. 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 an outstanding chance to gain hands-on experience in applying machine learning to tackle 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 crucial.
Locations
- Heidelberg, Baden-Wurttemberg, Germany
Salary
Estimated Salary Rangemedium confidence
600,000 - 1,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- data annotationintermediate
- researchintermediate
- experiment with ML modelsintermediate
- anomaly detectionintermediate
- annotation biasintermediate
- Pythonintermediate
- programming languagesintermediate
- data analysisintermediate
- experimentationintermediate
- collaborationintermediate
Required Qualifications
- Strong master’s or PhD student in Machine Learning or Computer Science with specialization in ML. (degree in phd student in machine learning or computer science with specialization in ml)
- Advanced understanding of classical or deep machine learning techniques. (experience)
- Fluency in Python and at least one lower level language (Go, Rust, C++, etc.) (experience)
Preferred Qualifications
- Specialization in at least one of the following topics: (experience)
- Active learning / optimal experimental design (experience)
- Uncertainty estimation in ML Models (e.g. sensitivity analysis, dropout based techniques, fisher information, etc.) (experience)
Responsibilities
- 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 an outstanding chance to gain hands-on experience in applying machine learning to tackle 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 crucial.
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Internship - Annotation Acceleration
Apple
Internship - Annotation Acceleration
Job Description
Application Deadline: Sunday 16th November 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 high-reaching 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 extraordinary software and machine learning engineers to develop and implement intelligent solutions to improve our data annotation processes. 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 an outstanding chance to gain hands-on experience in applying machine learning to tackle 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 crucial.
Locations
- Heidelberg, Baden-Wurttemberg, Germany
Salary
Estimated Salary Rangemedium confidence
600,000 - 1,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- machine learningintermediate
- data annotationintermediate
- researchintermediate
- experiment with ML modelsintermediate
- anomaly detectionintermediate
- annotation biasintermediate
- Pythonintermediate
- programming languagesintermediate
- data analysisintermediate
- experimentationintermediate
- collaborationintermediate
Required Qualifications
- Strong master’s or PhD student in Machine Learning or Computer Science with specialization in ML. (degree in phd student in machine learning or computer science with specialization in ml)
- Advanced understanding of classical or deep machine learning techniques. (experience)
- Fluency in Python and at least one lower level language (Go, Rust, C++, etc.) (experience)
Preferred Qualifications
- Specialization in at least one of the following topics: (experience)
- Active learning / optimal experimental design (experience)
- Uncertainty estimation in ML Models (e.g. sensitivity analysis, dropout based techniques, fisher information, etc.) (experience)
Responsibilities
- 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 an outstanding chance to gain hands-on experience in applying machine learning to tackle 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 crucial.
Tags & Categories
Answer 10 quick questions to check your fit for Internship - Annotation Acceleration @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs