Machine Learning Engineer • Senior

Who you are

You have a strong background in machine learning with at least 5 years of experience building models and model-driven products that enhance user experiences. Your expertise in Python and frameworks like TensorFlow and Keras allows you to drive innovations in ML, particularly in the context of Foundation Models. You are comfortable with data analysis and understand the importance of leveraging diverse data sources to improve model performance.

You possess a deep understanding of algorithm development, including defining important signals in prompts and responses. Your experience includes performing error analysis and conducting ablation experiments to test data augmentation strategies. You thrive in environments that require a tolerance for ambiguity and are eager to experiment with new ideas to enhance model capabilities.

What you'll do

As a Senior Machine Learning Engineer at Apple, you will play a pivotal role in the AI/ML FM Data organization, focusing on improving Foundation Models. You will drive ML innovations by identifying key opportunity areas where data can significantly impact model training and performance. Your responsibilities will include developing algorithms, evaluating models, and conducting experiments to optimize training efficiency.

You will collaborate with cross-functional teams to integrate your findings into Apple Intelligence features that serve millions of users across various devices. Your work will directly influence the user experience, making it essential to understand user interactions and how to enhance them through advanced ML techniques. You will also mentor junior engineers, sharing your knowledge and fostering a culture of learning within the team.

What we offer

Apple offers a dynamic work environment where innovation is at the forefront. You will have the opportunity to work on cutting-edge technologies that impact millions of users worldwide. We provide competitive compensation and benefits, along with a culture that values diversity and inclusion. Join us to be part of a team that is shaping the future of intelligent products.