Apple
Posted 136 days agoVerified live 2d ago
Machine Learning and Artificial Intelligence Masters Internships
Brief overview
United StatesIn-person
MastersOr in progress
6,752 H-1B approvalsDept. of Labor
3,817 green cardsCertified filings
PythonSwiftObjective CJavaTensorFlowPyTorchCoreFlowSklearnSpeech processingMultimodal sensingLinear algebraStatisticsEthnographic studiesHuman interaction with interactive technologiesExperiment design and analysisProblem solvingCollaboration
About the company
Appleapple.com
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.6,752H-1B approved
98%approval rate
2,551new H-1B hires
3,817PERM certified
$178,006median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231,940
20241,811
20252,018
2026983
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
2023884
20241,000
20251,480
20261,175
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231,199
20241,386
20251,224
20268
Top sponsored roles
Software Engineering ApplicationsSoftware Development EngineeringSoftware Development EngineerSoftware Engineering SystemsSoftware Development Engineer - Applications
Sponsored employees from
IndiaChinaCanadaTaiwanUnited Kingdom
Job description
Summary
Apple's Artificial Intelligence and Machine Learning organization offers an internship where participants can engage in the transformative impact of machine learning on everyday life. Interns will collaborate with experts to explore innovative solutions, advance technology through research, and potentially present their work to leadership.
Responsibilities
- Collaborate with researchers, engineers, and program/project managers to tackle innovative challenges
- Receive technical mentorship and guidance to learn new things every day and gain practical skills
- Build real world experience and develop a greater understanding of the industry
- Partner with your team to design and implement an innovative solution for a Machine Learning problem that is meaningful
- Have the opportunity to submit your work for publication at a suitable conference
Skills
- Pursuing a graduate (MS) degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or related field
- At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate
- Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java
- Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn
- Practical knowledge related to building and adapting algorithms for machine learning, speech, multimodal sensing, and related areas
- Familiarity with crafting, prototyping, and evaluating interactive systems
- Excellent mathematical skills in linear algebra and statistics
- Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies. Experience crafting, conducting, analyzing, and interpreting experiments and investigations
- Expertise in at least one of the areas: statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision making theory
- Ability to collaborate with others
- Problem solving skills
Qualifications
Must Haves
- Pursuing a graduate (MS) degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, or related field
- At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate
Nice to Haves
- Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java
- Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn
- Practical knowledge related to building and adapting algorithms for machine learning, speech, multimodal sensing, and related areas
- Familiarity with crafting, prototyping, and evaluating interactive systems
- Excellent mathematical skills in linear algebra and statistics
- Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies. Experience crafting, conducting, analyzing, and interpreting experiments and investigations
- Expertise in at least one of the areas: statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision making theory
- Ability to collaborate with others
- Problem solving skills
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