Machine Learning Engineer – Recommendations & Personalization (Feature Engineering)

Who you are

You have a strong background in machine learning and data engineering, with experience in operationalizing machine learning models. You are proficient in Python and have hands-on experience with TensorFlow, enabling you to build and optimize machine learning pipelines effectively. Your understanding of Kubernetes and AWS allows you to manage and deploy scalable solutions in cloud environments. You are passionate about creating personalized experiences and have a keen interest in feature engineering for recommender systems. You thrive in collaborative environments, working closely with cross-functional teams to bridge the gap between research and production. You are committed to maintaining high standards of system performance and reliability, ensuring that the solutions you develop meet the needs of millions of users.

Desirable

Experience with real-time and batch inference pipelines is a plus, as is familiarity with data monitoring and tooling. You are eager to learn and adapt to new technologies, contributing to the continuous improvement of machine learning practices within the team.

What you'll do

In this role, you will be responsible for building and optimizing machine learning models that power personalized recommendations across Apple's services. You will develop real-time and batch inference pipelines, ensuring that the models you create are efficient and reliable. Your work will involve collaborating with data scientists and engineers to operationalize machine learning features, focusing on system performance and experimentation velocity. You will also be tasked with developing the necessary infrastructure and tooling to support the deployment of machine learning models, ensuring they are integrated seamlessly into production environments. Monitoring and maintaining the performance of these systems will be a key part of your responsibilities, as you strive to deliver high-quality user experiences. You will have the opportunity to work on innovative projects that impact millions of Apple users worldwide, contributing to the company's mission of combining art and technology.

What we offer

Apple provides a dynamic work environment where creativity and technology intersect. You will be part of a small, flexible team that values collaboration and innovation. The role offers opportunities for professional growth and development, allowing you to expand your skills in machine learning and data engineering. Apple is committed to fostering an inclusive workplace, where diverse perspectives are valued and encouraged. You will have access to cutting-edge technologies and resources, enabling you to make a meaningful impact in your role. Join us at Apple to help shape the future of personalized experiences for users around the globe.