Machine Learning Engineer • Senior

Who you are

You have 5+ years of industry experience in applied machine learning, with a strong foundation in software engineering. Your background includes working collaboratively in diverse teams, and you are passionate about enhancing user experiences through intelligent systems. You hold a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or possess equivalent work experience. You are familiar with the latest advancements in machine learning and have experience in real-time information retrieval and generation.

You have hands-on experience with frameworks such as PyTorch, TensorFlow, or JAX, which you have used for training and deploying deep learning models. Your expertise allows you to understand user queries and intents effectively, retrieve and rank documents, and generate helpful answers. You are also knowledgeable about information safety and search technologies, which are crucial for developing user-facing production services.

What you'll do

As a Senior Machine Learning Engineer at Apple, you will be part of a team that is redefining how users interact with their devices. You will leverage your applied machine learning experience to enhance Siri and other Apple products, ensuring they provide accurate and relevant information to users. Your role will involve using advanced machine learning techniques to improve real-time information retrieval and generation, contributing to the overall user experience.

You will collaborate with a diverse team of engineers, including those focused on distributed systems, to push the limits of what is possible with machine learning. Your responsibilities will include designing and implementing machine learning models, evaluating their performance, and ensuring they meet the high standards expected by Apple users. You will also work on data generation and safety, ensuring that the information provided by Apple products is reliable and secure.

What we offer

At Apple, you will have the opportunity to work on cutting-edge technology that impacts millions of users worldwide. We foster an inclusive environment where diverse perspectives are valued, and we encourage you to apply even if your experience doesn't match every requirement. You will be part of a team that is committed to innovation and excellence, with ample opportunities for professional growth and development.