Summary Posted: Dec 18, 2023 Weekly Hours: 40 Role Number: 200520453 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 extraordinary software and machine learning engineers to develop and implement intelligent solutions to enhance our data annotation processes. Key Qualifications Key Qualifications Strong master's or PhD student in Machine Learning or Computer Science with specialization in ML. Understanding of classical or deep machine learning techniques. Proficiency in Python and at least one lower level language (Go, Rust, C++, etc.) Excellent statistics skills Specialised in at least one of the following topics: ML for anomaly detection, active learning, efficient experimental design, uncertainty estimation in ML models (e.g. sensitivity analysis, dropout based techniques, fisher information, etc.) Experience in data annotation, crowd sourcing or design of experiments Description 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 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 essential.
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 programs. 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 programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programs 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.
Apple benefits programs 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 Education & Experience Pursuing an MSc or PhD in Computer Science or equivalent. Additional Requirements Additional Requirements
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