Machine Learning Engineer • Senior

Who you are

You have a strong background in machine learning and are excited about building innovative generative AI experiences that empower millions of users daily. With your collaborative spirit, you thrive in environments where you can apply your machine learning expertise to real-world user experiences. You have experience in developing scalable, privacy-conscious ML systems and are familiar with the latest advancements in the field.

You possess deep knowledge of machine learning frameworks and tools, particularly Python, TensorFlow, and Keras. Your experience includes research, development, and deployment of machine learning models, and you are comfortable working with both on-device and cloud-based solutions. You are passionate about sharing knowledge and staying abreast of state-of-the-art technologies in machine learning.

What you'll do

As a Senior Machine Learning Engineer at Apple, you will join the Intelligence Data Platform team, responsible for powering key intelligence features across Apple's ecosystem, including Siri Suggestions and the Shortcuts app. You will lead the research, development, and deployment of core platforms that underpin Apple Intelligence features, such as Writing Tools and Notification Summaries. Your role will involve building scalable ML systems that anticipate user needs and enhance user experiences.

You will collaborate with a talented team of machine learning and software engineering professionals, sharing insights and knowledge to deliver outstanding products for users. Your contributions will directly impact the development of contextual, on-device platforms that predict user behavior and improve overall functionality. You will also engage in multi-functional collaboration across teams at Apple, ensuring that the solutions you develop align with broader company goals.

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 and contribute to projects that impact millions of users worldwide. The company promotes a culture of inclusion and diversity, encouraging you to apply even if your experience doesn't match every requirement. You will be part of a team that values knowledge sharing and continuous learning, providing a supportive atmosphere for professional growth.