Applied Research Scientist, Speech
Menlo Park, CA | Seattle, WA | New York City
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).
- 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.
- 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.
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.
Tags: ASR Computer Science Deep Learning Engineering Machine Learning ML models Model training NLP PhD Physics Python PyTorch Research Speech synthesis TensorFlow VR
Perks/benefits: Career development Conferences Equity Flex vacation Health care Salary bonus
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