AIML- AI Research Intern- On-device Optimization of LLMs, DMLI

Key Skills

JavaScript, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, PyTorch, Scala Programming, Swift, TensorFlow

Job Description

Within Apple’s Artificial Intelligence and Machine Learning organization (AIML) you can take part in the ongoing revolution that machine learning plays in daily life. Apple’s fully-integrated hardware and software provides unique opportunities to deliver amazing experiences, all while prioritizing user privacy. Come collaborate with some of the best in the business, and help build the world's most innovative products and experiences. We are offering exciting internship opportunities to explore new methods; apply machine learning to solve ambitious problems; advance state-of-the art technology by researching and publishing; challenge existing metrics or protocols; and develop new insightful theories that will impact the way we understand machine learning and the experiences it can enable.

Key Qualifications

• Knowledgeable with an object-oriented programming language, such as Python, Swift, Objective C or Java.
• Hands-on experience with ML libraries like TensorFlow, PyTorch, CoreFlow, Sklearn, etc.
• Strong mathematical skills in linear algebra and statistics.
• Ability to work in a collaborative environment.
• Familiar with crafting, prototyping, and evaluating interactive systems.
• Practical knowledge of building and adapting algorithms for machine learning, speech, multimodal sensing, or related areas.
• Experience training large scale models
• Proficient in conducting ethnographic or other situated studies of human interaction with or through interactive technologies.
• Research experience in ML and proven record of publishing academic research in peer-reviewed venues in relevant conferences (NeurIPS, CVPR, ACL, ICLR, ICCV, EMNLP, etc.)

Description

The Machine Intelligence, Neural Design (MIND) group at Apple is spearheading innovative hardware/software co-design for optimising Machine Learning (ML) on devices, with a particular emphasis on Large Language Models (LLMs) and Language -Vision Foundation Models.

This is a research focused internship, where you will receive technical mentorship and guidance that allows you to learn new things every day, 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 researchers who are all passionate about applying groundbreaking techniques to AI. We cover all fields of Machine Learning, including, but not limited to, large language models, diffusion models and reinforcement learning, as well as other related areas such as accessibility, privacy, and fairness. If you think your expertise can be useful to Apple, it probably is! Interns collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership. Where appropriate, you will have the opportunity to submit your work for publication at a suitable conference.

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.

Education & Experience

PhD in computer science, engineering, data science, applied mathematics, or equivalent.