CHI 2024 - Internship Opportunities at Apple
Cupertino, California, United States
Machine Learning and AI
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning techniques with next-generation hardware, our teams take user experiences to the next level.
This posting is for attendees of the CHI 2024 conference who are interested in internship opportunities at Apple.
Key Qualifications
- Passion for taking research ideas and turning them into actionable tools, guidelines, or products
- Curious about human interaction with technology and novel features
- Excellent communication and interpersonal skills, attention to detail, patience, and aesthetic sensibility
- Relevant experience in machine learning, artificial intelligence, software engineering, human factors, or consumer product usability evaluation
Description
As a member of a machine learning team at Apple, you will use your deep understanding of machine learning and artificial intelligence to tackle meaningful technical problems, collaborate with the most innovative product development teams in the world, and transfer your ideas into solutions in the next generation of Apple products. You will perform fundamental research by defining, designing, implementing and evaluating algorithms involving unrivaled data and objectives. You will also actively engage with the academic community by collaborating with universities, publishing and presenting your work, and attending conferences. Exercise independent judgment in development of study methodology, data collection efforts, data analysis, conclusions, and design recommendations. Develop user study criteria and detailed methodology for user interface testing for several concurrent projects. Lead user-centered research and evaluation for design concept models on a diverse user population utilizing experimental data, anthropometric databases, and scientific publications. Conduct qualitative and quantitative research methods and analysis of data and provide clear and concise feedback to teams in a timely manner. Collaborate cross-functionally with design, engineering, clinical, regulatory, product marketing, and product development groups. Maintain an active working knowledge of worldwide publications, standards, and both cognitive and physical heuristics.
Education & Experience
PhD, MS, or BS in Computer Science, AI, Machine Learning, Human-Computer Interaction, Industrial Engineering, Cognitive Engineering, Experimental Psychology, or related field.