AIML - Intern (NLP), SII

Key Skills

Machine learning techniques, Natural Language Processing (NLP), Natural Language Toolkit - NLTK, Natural Language Understanding-NLU, Python Programming, PyTorch, TensorFlow, Unsupervised learning

Job Description

As part of Apple's Machine Learning and AI team, we transform every Apple product and because we fully integrate hardware and software, we can collaborate to deliver amazing experiences while protecting the privacy of users and their data. We are offering amazing internship opportunities to work directly with our R&D team in Cambridge, UK. Collaborate with some of the best in the business and see how we create the world's most innovative products and experiences. Our internships are a minimum of three months and you must be available to start no later than 1st June 2023.

Key Qualifications

• PhD student OR starting a PhD in 2023 studying computer science, applied mathematics or related subject
• Expertise with Machine Learning or Natural Language Processing (NLP), ideally in one or more of these areas: Privacy-Preserving ML, Natural Language Understanding (NLU), Natural Language Generation (NLG), Structured Prediction, Unsupervised Learning & Representation Learning, Reasoning, or Question Answering
• Programming skills in Python
• ML libraries like TensorFlow, PyTorch, etc.

Description

Our aim is to create an experience that allows you to learn without pressure, gain practical skills, build real world experience, develop a greater understanding of our industry and form valuable connections. You will join an extraordinary team, including world-class software engineers and leading machine learning practitioners who are all passionate about applying groundbreaking techniques to AI. We will partner you with a dedicated mentor who is an authority in your specialist area. You and your mentor will collaborate to design and implement an innovative solution for an ML or NLP problem that is meaningful. At the end of your internship, you will have the chance to meet and present your work to the AI/ML leadership. Where appropriate, there may be the opportunity to submit your work for publication at a suitable conference. If this is you, we'd love to hear from you!

Education & Experience

Currently enrolled in a PhD in Computer Science or a related field.