AI Research Scientist - Voice AI Team, Meta Superintelligence Labs
Role summary
Meta is seeking AI Research Scientists for its Realtime AI Voice team within Meta Superintelligence Labs. This role focuses on speech-LLMs, requiring expertise in areas like speech encoders, pre-training, reinforcement learning, LLM alignment, and multimodal modeling. Responsibilities include leading research, contributing to experiments, designing studies, developing code, and translating research into production-ready solutions. The position requires 2+ years of post-PhD AI research experience, a strong publication record, and familiarity with deep learning frameworks. Preferred qualifications include experience bringing ML products to production and interdisciplinary collaboration.
Meta is seeking AI Research Scientists to join the Realtime AI Voice team in 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.
### AI Research Scientist - Voice AI Team, Meta Superintelligence Labs Responsibilities:
- Lead, 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
- Help identify long-term research goals as well as intermediate milestones
- Work cross-functionally to translate research breakthroughs into scalable, production-ready solutions for Meta's conversational AI / product experiences
### Minimum Qualifications:
- 2+ years of post-PhD experience in an academic, industry, or government laboratory setting, with primary responsibilities focused on AI research
- Proven track record of 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)
- Experience communicating complex research to 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, Interspeech)
- Experience with interdisciplinary and/or cross-collaboration
- Experience bringing machine learning-based products from research to production
### 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-ext@meta.com.
$184,000/year to $257,000/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.