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Research Scientist Intern, AI Research - Speech & Audio (PhD)
Research Scientist Intern, AI Research - Speech & Audio (PhD)META • Menlo Park, CA, United States
Research Scientist Intern, AI Research - Speech & Audio (PhD)

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

META • Menlo Park, CA, United States
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  • [job_card.full_time]
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Summary :

Meta AI is currently seeking 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, with a primary focus on speech with large language models (LLM) to power various speech-LLM-based products. 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.

Required Skills :

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

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

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 Qualifications :

Preferred Qualifications :

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

Public Compensation :

$7,650 / month to $12,134 / month + benefits

Industry : Internet

Equal 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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Ai Research Scientist • Menlo Park, CA, United States

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