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Linguistic Engineer, Text-to-speech

AT Meta
Meta

Linguistic Engineer, Text-to-speech

Redmond, WA

Meta's AR/VR division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning & reasoning will enable and empower consumers and businesses in new ways.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. The ideal candidate has strong technical, analytical, and collaboration skills with experience in building and evaluating datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on data and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization. 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.

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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.
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 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.

$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 benefits at Meta.

Client-provided location(s): Redmond, WA, USA
Job ID: a1KDp00000E259tMAB
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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