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Research Engineer, Language - Wearables Voice AI
Research Engineer, Language - Wearables Voice AIMeta • New York, NY, US
Research Engineer, Language - Wearables Voice AI

Research Engineer, Language - Wearables Voice AI

Meta • New York, NY, US
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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 :

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

Minimum Qualifications :

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 :

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

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.

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