Internship Machine Learning Research
Apple
Internship Machine Learning Research
Job Description
We're seeking research interns to create breakthrough innovations in machine learning. We are particularly interested in frontier models, and the interface of AI and science. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences. You are in your final years of a PhD programme in Machine Learning and have already published some of your work at top-tier venues in the field. During your time with us, you will continue sharpening your research skills as we go through the various collaborative stages of an ML research project: Identifying a promising research opportunity, reviewing state-of-the-art methods and relevant literature, crafting novel approaches, implementing them as code prototypes, planning and running large-scale experiments across multi-node, multi-GPU systems, writing a paper, and seeing it through to submission. Topics of interest include but are not limited to frontier models, and the interface of AI and science We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision, machine learning, robotics, computer graphics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values: - Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results. - Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. - Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
Locations
- Munich, Bavaria-Bayern, Germany 80335
Salary
Estimated Salary Rangemedium confidence
1,500,000 - 3,000,000 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
- research skillsintermediate
- reviewing state-of-the-art methodsintermediate
- reviewing relevant literatureintermediate
- crafting novel approachesintermediate
- implementing code prototypesintermediate
- planning large-scale experimentsintermediate
- running experiments on multi-node systemsintermediate
- running experiments on multi-GPU systemsintermediate
- writing a paperintermediate
- paper submissionintermediate
- computer visionintermediate
- roboticsintermediate
- computer graphicsintermediate
- passion for the missionintermediate
- modestyintermediate
- lean habitsintermediate
- collaborative problem-solvingintermediate
- clear-eyed feedbackintermediate
- sharpening focusintermediate
- making phenomenal decisionsintermediate
Required Qualifications
- You are working towards a doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent. (degree in computer science)
- 6 months dedication is preferred, and starting no later than March 2026 (experience)
- Proven research expertise in machine learning. (experience)
- Publication record in relevant conferences (e.g., NeurIPS, ICLR, ICML, COLM, etc). (experience)
- Solid software engineering skills in complex, multi-language systems. Fluency in Python. (experience)
Preferred Qualifications
- Expertise in ML algorithms and top practices for working with deep learning systems (experience)
- Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.) (experience)
- Strong overall software development approach. You deliver clean, well-tested code. (experience)
Responsibilities
- You are in your final years of a PhD programme in Machine Learning and have already published some of your work at top-tier venues in the field. During your time with us, you will continue sharpening your research skills as we go through the various collaborative stages of an ML research project: Identifying a promising research opportunity, reviewing state-of-the-art methods and relevant literature, crafting novel approaches, implementing them as code prototypes, planning and running large-scale experiments across multi-node, multi-GPU systems, writing a paper, and seeing it through to submission. Topics of interest include but are not limited to frontier models, and the interface of AI and science
- We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision, machine learning, robotics, computer graphics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some
- key values:
- - Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results.
- - Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.
- - Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
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Answer 10 quick questions to check your fit for Internship Machine Learning Research @ Apple.
10 Questions
~2 Minutes
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Internship Machine Learning Research
Apple
Internship Machine Learning Research
Job Description
We're seeking research interns to create breakthrough innovations in machine learning. We are particularly interested in frontier models, and the interface of AI and science. You will work in an organization of world-class machine learning researchers and engineers. Our work powers cutting-edge technologies across the Apple ecosystem and is published in the most selective scientific journals and conferences. You are in your final years of a PhD programme in Machine Learning and have already published some of your work at top-tier venues in the field. During your time with us, you will continue sharpening your research skills as we go through the various collaborative stages of an ML research project: Identifying a promising research opportunity, reviewing state-of-the-art methods and relevant literature, crafting novel approaches, implementing them as code prototypes, planning and running large-scale experiments across multi-node, multi-GPU systems, writing a paper, and seeing it through to submission. Topics of interest include but are not limited to frontier models, and the interface of AI and science We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision, machine learning, robotics, computer graphics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some key values: - Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results. - Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback. - Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
Locations
- Munich, Bavaria-Bayern, Germany 80335
Salary
Estimated Salary Rangemedium confidence
1,500,000 - 3,000,000 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
- research skillsintermediate
- reviewing state-of-the-art methodsintermediate
- reviewing relevant literatureintermediate
- crafting novel approachesintermediate
- implementing code prototypesintermediate
- planning large-scale experimentsintermediate
- running experiments on multi-node systemsintermediate
- running experiments on multi-GPU systemsintermediate
- writing a paperintermediate
- paper submissionintermediate
- computer visionintermediate
- roboticsintermediate
- computer graphicsintermediate
- passion for the missionintermediate
- modestyintermediate
- lean habitsintermediate
- collaborative problem-solvingintermediate
- clear-eyed feedbackintermediate
- sharpening focusintermediate
- making phenomenal decisionsintermediate
Required Qualifications
- You are working towards a doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent. (degree in computer science)
- 6 months dedication is preferred, and starting no later than March 2026 (experience)
- Proven research expertise in machine learning. (experience)
- Publication record in relevant conferences (e.g., NeurIPS, ICLR, ICML, COLM, etc). (experience)
- Solid software engineering skills in complex, multi-language systems. Fluency in Python. (experience)
Preferred Qualifications
- Expertise in ML algorithms and top practices for working with deep learning systems (experience)
- Proficiency with ML modeling frameworks (PyTorch, Tensorflow, etc.) (experience)
- Strong overall software development approach. You deliver clean, well-tested code. (experience)
Responsibilities
- You are in your final years of a PhD programme in Machine Learning and have already published some of your work at top-tier venues in the field. During your time with us, you will continue sharpening your research skills as we go through the various collaborative stages of an ML research project: Identifying a promising research opportunity, reviewing state-of-the-art methods and relevant literature, crafting novel approaches, implementing them as code prototypes, planning and running large-scale experiments across multi-node, multi-GPU systems, writing a paper, and seeing it through to submission. Topics of interest include but are not limited to frontier models, and the interface of AI and science
- We are a team of best-in-the-world research scientists and engineers with deep experience in computer vision, machine learning, robotics, computer graphics, and related areas. We work on exciting new technologies that bring joy to millions of people. In our daily work, the team stays innovative, productive, and fun by sharing some
- key values:
- - Passion for the mission: We're here to make something extraordinary. We seek whatever work is right and strive for the best possible results.
- - Modesty: The right answer is more significant than being right. We search for solutions as a team and value clear-eyed feedback.
- - Lean habits: You can't grow without limits. Time constraints and big goals encourage us to sharpen our focus and learn to make phenomenal decisions.
Tags & Categories
Answer 10 quick questions to check your fit for Internship Machine Learning Research @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs