Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to work on products that are used globally every single day? Do you love applying machine learning methodology to solve novel problems? Do you want to have significant cross-team impact while working hand-in-hand with great people across Engineering, Research, User Experience, Marketing, and Product? If so, we want you to join our diverse and talented team!

Apple’s Enterprise Intelligence team is looking for an innovative and passionate machine learning engineer to contribute to the Enterprise platform, as best seen in Apple School Manager, Apple Business Manager, and Schoolwork. Our team’s mission is simple: help people work together—and with our devices—at scale, whether that means a school district, a small business, or a Fortune 500 company. We’ve got big ambitions and your work will be instrumental to realizing them and delivering great products to our users.

As a machine learning engineer on our team, you’ll engage with business, product, and design teams to identify new opportunities and translate them into innovative AI/ML solutions. Your work will involve a prototype-driven workflow, where you’ll iterate quickly to reach consensus with stakeholders. You’ll be working closely with internal teams to collect, clean, and analyze data to train and evaluate your models. Your expertise in communicating your results and insights with clear and actionable recommendations for our partners and leadership will help empower strategic decision-making for our products and the users we serve. Additionally, you’ll research and present the latest trends, technologies, and best practices in AI/ML and Generative AI to enhance our technical capabilities.

If you thrive in a collaborative environment and are passionate about leveraging AI/ML to solve applied problems, we’d love to hear from you!

PhD or MS in Computer Science, Artificial Intelligence/Machine Learning, or other similar quantitative field with 3+ years industry experience OR 5+ years of related work experienceExperience in industry building end-to-end machine learning applicationsPreparing and collecting data for training/analysis and ensuring data qualityExperience in one or more of the following machine learning areas: Computer Vision, NLP, Generative AI, Document Analysis, or similarA collaborative and proactive mindset and strong interpersonal skills