Role overview
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.
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.
What you'll work on
- Apply relevant AI and machine learning techniques to build and advance audio and speech technologies using large language models that can be applied to a wide area of Meta production use cases
- Work towards long-term ambitious research and productization goals, while identifying intermediate milestones
- Work with large data, and contribute to development of large scale foundation models
- Influence progress of relevant research communities by producing publications
What we're looking for
- Research experience in generative AI, especially in building and optimising large language models for areas of audio/ speech processing and understanding, computer vision and/or natural language understanding beyond black-box use
- Additional AI research experience in computer vision and/or NLP
- Previous internship(s) and/or research assistantship(s) in an AI research organization
- Industry experience working on Speech, Language, and LLM related topics and the experience to apply relevant AI and machine learning techniques to build intelligent rich speech & language systems for improving product experiences
- Interest in taking new research findings in this area and implementing them towards product needs