Research Scientist • Intern

Who you are

You are pursuing a PhD in a relevant field and have a strong foundation in machine learning and artificial intelligence. Your academic background has equipped you with the skills to conduct product-motivated research and develop state-of-the-art algorithms. You have experience in speech and audio processing, particularly with large language models, and are eager to apply your knowledge in a practical setting.

You possess excellent analytical skills and are comfortable working with complex data sets. Your ability to collaborate with cross-functional teams will help you thrive in a dynamic research environment. You are passionate about creating technology that enhances communication and community building.

What you'll do

As a Research Scientist Intern at Meta AI, you will contribute to the development of spoken language technology that aims to improve how people connect globally. You will engage in research that focuses on machine learning and artificial intelligence, specifically in the realm of speech and audio processing. Your responsibilities will include designing and implementing innovative models and algorithms that can be deployed in large-scale production environments.

You will work closely with experienced researchers and engineers, gaining hands-on experience in applying cutting-edge AI techniques to real-world challenges. Throughout your internship, you will have the opportunity to participate in various projects that leverage large language models to enhance speech-related products. Your contributions will directly impact the development of technologies that facilitate better communication.

What we offer

Meta AI provides a collaborative and innovative work environment where you can grow your skills and make meaningful contributions. The internship lasts between twelve to twenty-four weeks, with flexible start dates throughout the year. You will have the chance to work on impactful projects that shape the future of spoken language technology, all while being supported by a team of experts in the field. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.