Machine Learning Engineer • Mid-Level

Who you are

You have a strong background in machine learning and natural language processing, with a focus on multilingual tasks and machine translation. Your experience includes working with large language models and you are passionate about advancing technology that empowers users to communicate seamlessly across language barriers. You possess exceptional oral and written communication skills, enabling you to collaborate effectively with diverse teams.

You are driven by a desire to investigate novel modeling and learning approaches, and you thrive in research environments where you can contribute to state-of-the-art technologies. Your ability to evaluate methods and apply them to real-world challenges sets you apart as a candidate. You are eager to join a team that values innovation and collaboration in the field of machine translation.

What you'll do

As a Machine Learning Research Engineer at Apple, you will contribute to the development of core machine translation technology and large language models. Your role will involve researching and implementing advanced approaches to machine translation, collaborating with a diverse range of language technologies. You will investigate novel modeling techniques and evaluation methods, working closely with other researchers and engineers to push the boundaries of what is possible in multilingual communication.

You will have the opportunity to work on applications that impact millions of users, such as the Translate app and Safari web page translation. Your contributions will help shape the future of multilingual solutions across the Apple ecosystem. You will be part of a core modeling team, where your insights and expertise will play a crucial role in addressing real-world challenges in language processing.

What we offer

Apple is committed to fostering an inclusive and diverse workplace. You will be part of a team that values collaboration and innovation, with opportunities for professional growth and development. We encourage you to apply even if your experience doesn't match every requirement, as we believe that diverse perspectives lead to better solutions. Join us in our mission to empower users through advanced machine translation technologies.