Machine Learning Engineer • Staff

Who you are

You have a strong background in machine learning engineering with a focus on building scalable platforms — your experience includes developing tools that support high-performance ML workloads. You are proficient in Python and have hands-on experience with frameworks like TensorFlow, which you have used to train deep learning models at scale.

Your passion for distributed systems is evident in your work — you understand the intricacies of reliability, scalability, and performance when it comes to ML workloads. You thrive in collaborative environments and enjoy working with a team of experts to push the boundaries of existing solutions.

You are committed to open-source contributions and have a desire to publish your work at top ML conferences — you believe in sharing knowledge and advancing the field of machine learning through collaboration and innovation.

What you'll do

As a Staff Machine Learning Engineer at Apple, you will design and develop components for a centralized, scalable ML platform — your work will enable engineers across the company to build next-generation AI-driven experiences. You will focus on model training, inference, and data processing, ensuring that the platform meets the high standards required for Apple’s products.

You will push the limits of existing solutions for large-scale ML workloads — this includes developing novel techniques to overcome limitations and deploying these techniques on high-impact tasks. Your role will involve collaborating with various teams to understand their needs and translating them into effective ML solutions.

You will have the opportunity to mentor junior engineers and contribute to a respectful work environment that values growth and learning — your insights will help shape the future of Apple’s machine learning initiatives.

What we offer

Apple provides a flexible work environment that encourages innovation and collaboration — you will have access to world-class experts and growth opportunities within the company. We value diversity and inclusion, and we seek to create a workplace where everyone can thrive. Join us to make a significant impact on the future of technology and AI-driven experiences.