Research Scientist Intern, Language Generative AI (PhD)

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Interns to join our Generative AI efforts across modalities (text, audio, speech, images, video, 3D, etc.). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative modeling, deep learning, computer vision, audio and speech processing, natural language processing, machine learning and reinforcement learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, Language Generative AI (PhD) Responsibilities

• Perform cutting-edge research in generative AI, focusing on audio and speech generation, drawing inspiration from Meta's projects like Seamless-Communication and Audiobox.
• Analyze and optimize the scalability and efficiency of deployed systems, particularly in the context of generative audio and multimodal AI.
• Collaborate with researchers and cross-functional teams, sharing progress and integrating research findings into practical applications.
• Contribute to the AI community through publishing research results and enhancing Meta's product development with new AI technologies.

Minimum Qualifications

• Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Natural language processing, Audio & Speech Processing, Computer Vision, Artificial Intelligence, Generative AI, or relevant technical field.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
• Experience with Python, C++, C, Java or other related languages.
• Experience building systems based on machine learning and/or deep learning methods.

Preferred Qualifications

• Intent to return to the degree program after the completion of the internship/co-op.
• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICLR, ICML, CVPR, ECCV, ACL, EMNLP, NAACL, Interspeech, or similar.
• Demonstrated expertise in training generative AI models tailored for applications in audio, speech, and / or other generative tasks.
• Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Experience with the development of enterprise level AI, Machine Learning, and Deep Learning platforms involving big data management and GPU compute.
• Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
• Experience working and communicating cross functionally in a team environment.