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.

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
• 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
• 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

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
• Experience taking ideas from research to production
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
• Experience working and communicating cross functionally in a team environment

• Apply relevant AI and machine learning techniques to build speech/LLM technology that will improve Meta Wearables products and experiences
• Develop novel, accurate AI algorithms and advanced systems for large scale applications
• Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results
• Work with large data, and contribute to development of large scale foundation models
• Design methods, tools, and infrastructure to push forward the state of the art in large language models