**Summary:** As a Research Engineer in Wearables Voice AI, you will have the opportunity to perform ground-breaking research to advance the device-driven AI Assistant effort at Meta – e.g. RayBan Smart Glasses and future Wearable devices. You will build state-of-the-art LLMs to support on-device and on-server use cases, optimize for natural voice interaction, deliver knowledge-grounded, actionable, personalized AI through a unique voice user interface. You will collaborate closely with Meta GenAI and FAIR orgs to produce SOTA research and results. **Required Skills:** Research Engineer, Language - Wearables Voice AI Responsibilities: 1. Apply relevant AI and machine learning techniques to build speech/LLM technology that will improve Meta Wearables products and experiences 2. Develop novel, accurate AI algorithms and advanced systems for large scale applications 3. Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results 4. Work with large data, and contribute to development of large scale foundation models 5. Design methods, tools, and infrastructure to push forward the state of the art in large language models **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. 2+ year(s) of work experience in a university, industry, or government lab with emphasis on AI research and development in speech recognition, speech synthesis, natural language understanding, machine learning, deep learning, or related fields 9. Experience with development and implementation of speech recognition algorithm/ systems and model training, including LLMs 10. Experience working with machine learning libraries like Pytorch, Tensorflow, etc 11. Familiar with scripting languages such as Python and shell scripts **Preferred Qualifications:** Preferred Qualifications: 12. Experience with developing scalable machine learning models in at least one of the following areas: automatic speech recognition, speech synthesis, LLM, or relevant areas 13. Experience with large scale model training, implementing algorithms, and evaluating speech-based systems 14. Experience taking ideas from research to production 15. Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward 16. Experience working and communicating cross functionally in a team environment **Public Compensation:** $56.25/hour to $173,000/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.