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The GenAI Speech team at Meta is currently looking for Research Scientist interns. Our team creates spoken language technology to make it faster and easier 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 work in all aspects of AI for speech and audio processing, including speech recognition, speech synthesis, speaker identification, keyword spotting, noise robustness, multi-lingual systems, and speech with large language models (LLM). Our work powers voice interactions on AR/VR devices, such as Ray-Ban | Meta smart glasses and Quest 3 mixed-reality headsets, and video content understanding, including captioning and understanding of videos on Facebook and Instagram. As a Research Scientist Intern, you will help us develop innovative models and algorithms and apply them to large-scale production speech tasks. Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. Internships are available in the Bay Area, CA and Seattle, WA.

Please make sure you read the following details carefully before making any applications. Responsibilities

Perform research to advance the science and technology of intelligent machines. Develop novel and accurate speech algorithms and systems, leveraging deep learning and machine learning on big data resources. Contribute research that can be applied to Meta product development. Analyze and improve efficiency, scalability, and stability of various deployed systems. Collaborate with team members from prototyping to production. Minimum Qualifications

Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science, Artificial Intelligence, Natural Language Processing, or related field. Must obtain work authorization in 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, etc). 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 or similar. 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. Experienced with training deep neural networks for key Speech tasks such as speech recognition, speech translation, speech synthesis, speaker diarization, sentiment analysis, acoustic event recognition, wake word, scene understanding, etc. Intent to return to a degree-program after the completion of the internship/co-op. Compensation US$7,800/month to US$11,293/month + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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