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MSL Voice team Research Scientist

10 hours ago


Menlo Park, California, United States Meta Full time

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.

MSL Voice team Research Scientist Responsibilities:
  • Collaborate, and execute on research that pushes forward the state of the art in speech and large language model research
  • Directly contribute to experiments, including designing experimental details, develop reusable code, running evaluations, and organizing results
  • Contribute to publications and open-sourcing efforts
  • Help identify long-term research goals as well as intermediate milestones
  • Prioritize research that can be applied to Meta's product development
Minimum Qualifications:
  • 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
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD degree in Computer Science, Mathematics, or similar quantitative field
  • Proven track record publications at peer-reviewed AI & speech conferences (e.g. NeurIPS, ICML, ICLR, ICASSP)
  • Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
  • Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …)
  • Direct experience in generative AI and LLM research
  • Experience to communicate complex research for public audiences of peers
Preferred Qualifications:
  • High impact publications at leading AI and speech conferences and journals (e.g. e.g., NeurIPS, ICML, ICLR, ICASSP)
  • Candidates should have an interest in taking new research findings in this area and implementing them towards product needs
  • Experience bringing machine learning-based products from research to production
  • Experience with interdisciplinary and/or cross-collaboration
About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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-

$122,000/year to $181,000/year + bonus + equity + 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.