Applied Research Scientist, Speech

Applied Research Scientist, Speech
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We are looking for a Applied Research Scientist to join the Meta AI Speech team. The AI Speech team creates spoken language technology to make it faster and easier for people to build community and connect with others around the world. Our mission is to conduct product-motivated research in ML/AI and design, develop and deploy state of the art models to the rest of Meta. We work in all aspects of AI for speech and audio processing, including speech recognition, speech synthesis, speaker identification, keyword spotting, and acoustic event detection. Our work is largely focused on the areas of voice interfaces, including speech technologies for RayBan Meta, Oculus VR headsets, the Metaverse, Family of Apps (Instagram, Messenger, WhatsApp etc) and video understanding, including transcription, captioning, and content understanding. As a Applied Research Scientist, you will help us develop innovative models and algorithms and apply them to large-scale production speech tasks. We are looking for a research scientist with a focus on automatic speech recognition. The ideal candidate should have a strong background in automatic speech recognition, end-to-end ASR, acoustic modeling, machine learning, or related areas, and have a passion for speech technology and voice interfaces.
Applied Research Scientist, Speech Responsibilities
  • Independently design and implement algorithms, train state of the art speech recognition models on large data, and evaluate their performance.
  • Develop machine learning models for both server-based and embedded systems.
  • Contribute research that can be applied to Meta product development, especially tackle the issues of edge computing for large speech models (like quantization, compression).
Minimum Qualifications
  • Currently has or is in the process of obtaining a PhD in the field of Artificial Intelligence, a related 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.
  • Research experience in one or more of these areas: speech recognition, speech processing, machine learning, deep learning, or related fields.
  • Experience with development and implementation of speech recognition algorithm/systems and model training.
  • Experience working with machine learning libraries like Pytorch, Tensorflow, etc.
  • Knowledge of deep learning and neural networks.
  • 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, end-to-end ASR, unsupervised/semi-supervised training, on-device modeling, acoustic modeling, or relevant areas.
  • Experience with developing machine learning models for both server-based and embedded solutions.
  • Experience with large scale model training, implementing algorithms, and evaluating ASR systems.
  • Proven track record of achieving significant results as demonstrated by publications at leading workshops, journals or conferences such as ICASSP, INTERSPEECH, 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.
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.
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
$146,994/year to $208,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

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