Apple Inc. is an American multinational technology company headquartered in Cupertino, California, that designs, develops, and sells consumer electronics, computer software, and online services. It is considered one of the Big Four of technology along with Amazon, Google, and Facebook.
Apple is seeking highly qualified people for the position of AI/ML Engineering Intern, and AI/ML Intern Researcher. The team pursues research & development in the areas of machine learning (ML) with particular focus on deep learning (DL), computer vision (CV), natural language processing (NLP), optimization, and reinforcement learning (RL).
As a ML intern, you will research and develop innovative ML strategies for challenging problems that will affect future Apple products. You will collaborate with broader teams across Apple to transfer AI/ML solutions. You are self-motivated, an excellent problem solver, a go-getter. You are quick to build relationships and work well with change and ambiguity. You have strong programming skills with tried experience crafting, prototyping, and delivering advanced algorithmic solutions.
In-depth expertise in deep learning (DL) and statistical machine learning (ML)
Expertise in one or more of CV, NLP, optimization, RL, time series, generative models, signals, pattern recognition fields, and/or computer graphics fields
Strong publication record demonstrating innovative research
Good presentation skills
Passionate about building extraordinary products
Excellent programming skills in Java, Python, C/C++, CUDA or other GPGPU is a plus
Knowledge of common ML frameworks
Expected to perform well in a fast-paced environment, to execute on the tasks assigned, to meet the production deadlines and, at the same time, to explore independently new innovative ideas that can improve and transform the product experience of Apple customers
Be able to deliver ML technologies aligned with the core values of Apple, ensuring the highest standards of quality, scientific rigor, innovation, and respect for user privacy
Creative, collaborative and product focused
Education & Experience
Currently pursuing a PhD, Masters, or Bachelors degree in Machine Learning, Human Computer Interaction, Natural Language Processing, Robotics, Computer Science, Data Science, Statistics or related areas.
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