Research Scientist Intern, Gen AI Audio (PhD)
Meta

The Gen AI team at Meta is currently looking for Research Scientist interns. Our team creates voice and multimodal immersive experiences for people to build community and connect with others around the world. We conduct product-motivated research in ML/AI and design, develop and deploy state-of-the-art algorithms to the rest of Meta. We are committed to advancing the field of artificial intelligence by driving forward technologies that help us interact with and understand the world. We are seeking individuals passionate about cutting-edge research in areas related to speech, audio and language processing such as speech synthesis, speech and audio processing, multimodal models, large-scale deep learning and generative models. Our interns have the unique opportunity to make foundational contributions to large language models (LLMs) and state-of-the-art generative models in speech and audio, and apply their ideas at an unprecedented scale.Our teams at Meta AI offer twelve (12) to twenty-four (24) week internships, and we have various start dates throughout the year. Internships are available at our Menlo Park, Seattle, and New York City locations. To learn more about our research, visit https://research.facebook.com.

Research Scientist Intern, Gen AI Audio (PhD) Responsibilities:

• Perform research to advance the science and technology of intelligent machines, including generative AI models.
• Develop novel and accurate speech algorithms and systems, leveraging deep learning and machine learning on big data resources.
• Experiment with generative AI models on large-scale (speech/multimodal) data.
• Improve the efficiency, scalability, and performance of various systems, optimizing for real-world applications.
• Collaborate with researchers and cross-functional teams, sharing research plans, progress, and findings.
• Contribute to Meta's research and publish results that can impact Meta's products and services.

Minimum Qualifications:

• Currently has, or is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, NLP, or a related technical field.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Experience in C/C++ and Python.
• Experience in deep learning frameworks (PyTorch, Tensorflow, …).
• Research and/or work experience in machine learning, deep learning, and/or speech technology.

Preferred Qualifications:

• Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
• Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as Interspeech, ICASSP, NeurIPS, ICLR or similar.
• Hands-on experience with generative AI models like LLMs, diffusion, GAN, flows, including the latest advancements in speech, audio and multimodal generative models.
• A strong interest in theoretical and empirical research and for answering hard questions with research.
• Interpersonal experience: cross-group and cross-culture collaboration.
• Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed.
• Intent to return to a degree-program after the completion of the internship/co-op.

About Meta: