AI Research Scientist, Language - Reality Labs

Summary: The Wearables Voice AI team supports speech-based interaction on wearable devices for on-line and on-device scenarios. As a Research Scientist 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, optimize them for natural voice interaction on our unique hardware (multiple microphones, other sensors, on-device inference, etc), 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 translate this into products. Required Skills: AI Research Scientist, Language - Reality Labs Responsibilities: Be a leader in our efforts to understand and synthesize speech, translate between languages, and/or extract intents, concepts, or other relevant features from speech and link them to downstream tasks. Independently design and implement algorithms, train state of the art models on large data, and optimize their performance together with our team and partners. Perform research to tackle unsolved real-world problems and advance state of the art research by developing internal tests and mapping them to external benchmarks. Develop machine learning models for both server-based and embedded systems. Contribute research that can be applied to Meta product development. Publish it. Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. PhD in the field of Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta. 3+ years of work experience in a university, industry, or government lab with emphasis on AI Research in speech recognition, speech synthesis, natural language understanding, machine learning, deep learning, or related fields. Experience with development and implementation of speech recognition algorithm/systems and model training, including LLMs. Experience working with machine learning libraries like Pytorch, Tensorflow, etc. Familiar with scripting languages such as Python and shell scripts. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: Experience with developing scalable machine learning models in at least one of the following areas: automatic speech recognition, speech synthesis, LLM, or relevant areas. Experience with large scale model training, implementing algorithms, and evaluating speech-based systems. Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals or conferences such as ICASSP, INTERSPEECH, NeurIPS, ICML, ICLR, or similar. Experience taking ideas from research to production. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward. Experience working and communicating cross-functionally in a team environment. Public Compensation: $147,000/year to $208,000/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

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