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Linguistics Engineering Manager

AT Meta
Meta

Linguistics Engineering Manager

New York, NY

We are seeking a Manager to join our Linguistics leadership team. You will lead a team of managers and linguistic engineers in designing and developing datasets, models, and representations across languages, knowledge, and evaluation systems that drive AI multimodal assistant. This role demands leveraging management, research, and production expertise to develop the team, set clear direction, and collaborate cross-functionally to define features that meet customer needs. You will influence decisions on system architecture, apply cutting-edge techniques to analyze data representation of user behavior and human language, and spearhead efforts to enhance downstream interactions, making a significant impact in a fast-paced environment.

Linguistics Engineering Manager Responsibilities:

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  • Drive advancements in conversational AI systems: ASR, NLU, Dialog, LLM, TTS
  • Guide model ablation studies
  • Strategically plan and execute technical initiatives related to AI voice assistants programs
  • Provide technical and scientific guidance to team members and partners
  • Execute deployments promptly, derive insights from iterations, and continually refine processes
  • Mentor and nurture the growth of linguists and managers to amplify their contributions
  • Foster a diverse and inclusive environment
  • Ensure projects progress on schedule
  • Collaborate seamlessly with cross-functional teams
Minimum Qualifications:
  • 12+ years of experience as a computational linguist/data scientist/software engineer, with expertise in conversational AI, conducting scaled experiments and evaluations tied to product/user experience improvements
  • 4+ years of relevant industry experience managing managers or technical teams as part of a consumer-facing application
  • Proficiency in programming and data analysis with languages and platforms such as Python, SQL
  • Experience with text analysis, scripting, relational databases, NoSQL databases, or similar
  • Track record in hiring, coaching, managing technical teams, and inspiring senior staff
  • Experience in shipping and evaluating AI/ML-based products
  • Understanding of the relationship between data and machine learning models
  • Experience producing meaningful quality insights from live traffic data across multiple modalities
  • Experience collaborating with internal and external teams
  • Experience communicating and influencing cross-functional leaders and Sr. leadership
Preferred Qualifications:
  • Experience with larger scripting projects involving the integration of language data from various sources and computing complex metrics over large datasets
  • Experience in building machine learning models or developing algorithms for business applications
  • Experience designing and conducting data experiments
  • Fluency in additional verbal languages
  • Master's or PhD with a specialization in Computational Linguistics, AI, speech programs, natural language processing, or machine learning, 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.

$183,000/year to $255,000/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): New York, NY, USA
Job ID: a1KDp00000E27SEMAZ_1002
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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