AI Research Scientist, Language - Wearables

Redmond, WA, Burlingame, CA, New York, NY•

48 days ago

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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 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.

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 and publish research that can be applied to Meta product development.

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Has PhD in the field of Artificial Intelligence, a related field, or equivalent practical experience.

5+ year(s) 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.

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.

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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About Meta

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.

$177,000/year to $251,000/year + bonus + equity + benefits

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.

Equal Employment Opportunity and Affirmative Action

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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

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