• MSL Voice team Research Scientist

    Meta (Menlo Park, CA)


    Summary:

    Meta is seeking AI Research Scientists to join the Realtime AI Voice team within Meta Super-intelligence Labs. The team works on speech-LLMs, and leverages knowledge in areas like speech encoders, pre-training, post-training, reinforcement learning, LLM alignment, multimodal modeling, speech and audio processing, speech recognition, speech synthesis, and multilingual modeling.

    Required Skills:

    MSL Voice team Research Scientist Responsibilities:

    1. Collaborate, and execute on research that pushes forward the state of the art in speech and large language model research

    2. Directly contribute to experiments, including designing experimental details, develop reusable code, running evaluations, and organizing results

    3. Contribute to publications and open-sourcing efforts

    4. Help identify long-term research goals as well as intermediate milestones

    5. Prioritize research that can be applied to Meta's product development

    Minimum Qualifications:

    Minimum Qualifications:

    6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

    7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

    8. PhD degree in Computer Science, Mathematics, or similar quantitative field

    9. Proven track record publications at peer-reviewed AI & speech conferences (e.g. NeurIPS, ICML, ICLR, ICASSP)

    10. Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use

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

    12. Direct experience in generative AI and LLM research

    13. Experience to communicate complex research for public audiences of peers

    Preferred Qualifications:

    Preferred Qualifications:

    14. High impact publications at leading AI and speech conferences and journals (e.g. e.g., NeurIPS, ICML, ICLR, ICASSP)

    15. Candidates should have an interest in taking new research findings in this area and implementing them towards product needs

    16. Experience bringing machine learning-based products from research to production

    17. Experience with interdisciplinary and/or cross-collaboration

    Public Compensation:

    $122,000/year to $181,000/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 [email protected].