Job Description

Summary:

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in AI. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. The team is working on the industrial leading research on building foundation models for audio understanding and audio generation. We are also closely working with vision research teams on pushing the frontier of multimodality (audio, video, language) research. Our teams research is focusing on audio and multimodality. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, speech and audio generation and audio-visual learning. Researchers will drive impact by: (1) publishing state-of-the-art research papers, (2) open sourcing high quality code and reproducible results for the community, and (3) bringing the latest research to Meta products for connecting billions of users. They will work with an interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Required Skills:

Fundamental AI Research Scientist, Language - FAIR Responsibilities:

Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Perform research to advance the science and technology of intelligent machines

Conduct research that enables learning the semantics of data across multiple modalities (audio, speech, images, video, text, and other modalities)

Work towards long-term ambitious research goals, while identifying intermediate milestones

Design and implement models and algorithms

Work with large datasets, train / tune / scale the models, create benchmarks to evaluate the performance, open source and publish

Minimum Qualifications:

Minimum Qualifications:

Research publications reflecting experience in related research fields: audio (speech, sound, or music) generation, text-to-speech (TTS) synthesis, text-to-music generation, text-to-sound generation, speech recognition, speech / audio representation learning, vision perception, image / video generation, video-to-audio generation, audio-visual learning, audio language models, lip sync, lip movement generation / correction, lip reading, etc

Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, ...)

Experienced in Python programming language

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

Preferred Qualifications:

Preferred Qualifications:

Publication record at peer-reviewed AI conferences (e.g. ACL, EMNLP, NeurIPS, ICLR, ICML or similar)

Public Compensation:

$147,000/year to $208,000/year + bonus + equity + 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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