- 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.
- 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.
- 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.
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