Machine Learning Engineer • Senior

Who you are

You have a strong background in machine learning infrastructure, with experience in building and maintaining compute systems for ML workloads. Your expertise includes working with frameworks like PyTorch and TensorRT, and you are comfortable collaborating with cross-functional teams to drive innovative solutions. You possess excellent communication skills, allowing you to articulate complex features and systems effectively.

You are passionate about understanding industry trends and leveraging new technologies to enhance ML capabilities. Your experience includes working on large-scale systems, and you thrive in environments where you can solve unique challenges related to ML compute workloads. You are a proactive problem solver who enjoys working in a collaborative team setting.

What you'll do

As a Senior Machine Learning Infrastructure Engineer at Apple, you will be responsible for collaborating with various teams to optimize ML workloads, including training, inferencing, and fine-tuning. You will drive the design and delivery of critical features that facilitate efficient ML compute operations, ensuring that the infrastructure meets the demands of current and future Apple products.

Your role will involve assessing and developing new technologies to improve ML capabilities across the organization. You will communicate complex systems and features in detail to stakeholders, ensuring alignment and understanding across teams. Your work will have a significant impact on the user experience for hundreds of millions of Apple customers.

What we offer

At Apple, you will be part of a diverse team that values innovation and collaboration. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will work in a dynamic environment where your contributions will directly influence the success of our products and services. Join us in making a difference in the lives of users around the world.