Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in building and deploying machine learning models at scale. Your expertise in Python and TensorFlow allows you to create robust solutions that enhance user experiences across Apple’s services. You understand the intricacies of feature engineering and have a solid grasp of data engineering principles, enabling you to bridge the gap between research and production effectively.

Your experience with cloud platforms, particularly AWS, equips you with the skills to optimize machine learning workflows and manage large datasets efficiently. You are familiar with container orchestration tools like Kubernetes, which helps you ensure that your models are scalable and reliable. You thrive in collaborative environments, working closely with cross-functional teams to deliver high-quality, ML-driven features.

You are passionate about data privacy and understand the importance of building secure systems that respect user privacy. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an effective collaborator in diverse teams. You are always eager to learn and adapt to new technologies, ensuring that you stay at the forefront of the rapidly evolving machine learning landscape.

Desirable

Experience with real-time and batch inference pipelines is a plus, as is familiarity with monitoring and optimizing system performance. You may also have a background in developing recommender systems or personalization algorithms, which would be beneficial in this role.

What you'll do

In this role, you will be responsible for operationalizing machine learning models, focusing on building real-time and batch inference pipelines that enhance the performance of Apple’s services. You will work on developing the infrastructure and tooling necessary to deploy ML-driven features safely and efficiently, ensuring that they meet Apple’s high standards for performance and reliability.

You will collaborate with data scientists and engineers to translate research models into production-ready solutions, bridging the gap between theoretical concepts and practical applications. Your work will involve optimizing system performance and reliability, as well as increasing experimentation velocity to drive innovation within the team.

You will also be tasked with monitoring the performance of deployed models, identifying areas for improvement, and implementing changes to enhance their effectiveness. Your contributions will directly impact the user experience for millions of Apple customers worldwide, making your role crucial to the success of Apple’s services.

What we offer

Apple provides a dynamic work environment where you can grow your skills and make a significant impact. You will have the opportunity to work on cutting-edge technologies and collaborate with some of the brightest minds in the industry. Apple values diversity and inclusion, fostering a culture where everyone can thrive.

In addition to competitive compensation, Apple offers a comprehensive benefits package that includes health and wellness programs, retirement plans, and opportunities for professional development. You will be part of a team that is dedicated to pushing the boundaries of technology while maintaining a strong commitment to user privacy and security. Join us at Apple to help shape the future of personalized experiences for our users.