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Facebook Linguistic Engineer Text-to-speech United States, Washington 521013698
29.08.2024
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As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the voice assistant product, such as ASR, TTS, NLU, Dialog, Reasoning, and LLMs. The Linguistic Engineer delivers datasets, modeling and evaluations across languages, as well as data infrastructure that powers the voice assistant product. Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role.
Linguistic Engineer, Text-to-speech Responsibilities
- Develop and execute evaluations for text-to-speech and large language models.
- Identify best practices and improve procedures across data systems and pipelines.
- Design and conduct product experiments.
- Clearly communicate with project stakeholders.
- Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support.
- Work in a dynamic, ambiguous work environment.
- Be self-driven and prioritize multiple work streams.
- Collaborate seamlessly with cross-functional teams.
Minimum Qualifications
- 2+ years of work experience as data scientist, software engineer, computational linguist or similar role.
- Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack.
- Experience working on text-to-speech systems and audio data
- Experience with text processing, scripting and relational databases.
- Experience shipping multiple products across various platforms.
- Knowledge of Large Language Models and how to evaluate, improve, and/or utilize them.
Preferred Qualifications
- 5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and speech technology.
- Experience with the evaluation, improvement, and/or utilization of Large Language Models.
- Deep understanding of the relationship between data and machine learning models.
- Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, etc.
- Experience designing and conducting data experiments.
- Experience with version control, unit tests, and other programming best practices.
- Fluency in additional languages.
- Advanced coursework and/or research in Computer Science, Data Science, Computational Linguistics, Information Systems, Phonetics/Phonology or related fields.
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About Meta
$124,000/year to $182,000/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 at Meta.
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