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Meta · 1 day ago

Research Scientist Intern, AI Research - Speech & Audio (PhD)

United States

Internship

Remote

Intern

$7,650/mo - $12,134/mo

Meta is a technology company that builds technologies to help people connect and grow businesses. They are seeking Research Scientist interns to develop innovative models and algorithms for speech and audio processing, focusing on large language models to enhance various speech-LLM-based products.

Computer Software

Comp. & Benefits

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

Qualification

PhD in relevant fieldMachine learningDeep learningSpeech technologyPythonDeep learning frameworksSpeech LLMsData analysisTeam collaborationCommunication skills

Required

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

Research and/or work experience in machine learning, deep learning, and speech technology

Experience 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

Experience in Python

Experience in deep learning frameworks (PyTorch, Tensorflow, etc)

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

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, ACL, ICASSP or similar

Experience working on speech LLMs

Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources

Experience working and communicating cross functionally in a team environment

Intent to return to a degree-program after the completion of the internship/co-op