Jobs

Linguistic Engineer

Meta

Linguistic Engineer

1 month ago• Hyderabad, India
Viewed on February 1, 2026
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About Us

Meta builds technologies that help people connect, find communities and grow businesses.

Size: 10000+ employees
Industry: Engineering, Social Media, Technology

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Meta's Reality Labs Wearables division is developing future products in augmented reality and virtual reality. Our work in conversational AI, computer vision, advanced optics, eye tracking, machine learning and reasoning will enable and empower consumers and businesses in new ways.As a Linguistic Engineer (LE), you will play a pivotal role in delivering datasets, models, and knowledge that power machine learning systems for the multimodal assistant product. Your responsibilities will include creating high-quality datasets, ensuring consistent models and representations across languages and domains, and developing data infrastructure to support AI assistant experiences. You will collaborate closely with ML teams working on components such as ASR/TTS, NLU, NLG, Dialog, LLMs, and Knowledge Graph, contributing to the advancement of cutting-edge AI technologies.

The ideal candidate brings technical, analytical, and collaboration skills, with proven experience in building datasets for ML applications. While experience as an ML practitioner is beneficial, the primary focus is on dataset development and partnership with ML teams. Proficiency with data tools, pipelines, and analytics is essential. Multilingual abilities and a keen interest in NLP and/or conversational AI systems are highly valued, as is enthusiasm for working at the forefront of their development. Experience in any subfield of computational linguistics is a plus, though not a strict requirement.

Linguistic Engineer Responsibilities:

Build datasets, pipelines, and models to support machine learning applications
Directly contribute to product development by creating rules, prompts, and implementing data patches
Evaluate model and product quality, closing the feedback loop through continuous assessment and iteration
Collaborate effectively with project stakeholders and cross-functional teams
Identify best practices and drive improvements across data systems and processes
Lead projects from conceptualization through launch, ensuring ongoing enhancement and support
Design and execute product experiments to inform development and innovation
Tackle complex problems and navigate ambiguity to deliver impactful, innovative solutions
Manage and prioritize multiple work streams to meet project goals and deadlines

Minimum Qualifications:

Minimum 2 years of professional experience as a data scientist, software engineer, computational linguist, or in a similar technical role
Proficient in programming and data analysis using languages and platforms such as Python, SQL, and PHP/Hack
Hands-on experience with text analysis, scripting, and working with both relational and NoSQL databases
Demonstrated success in shipping multiple products across various platforms
Bachelor's degree in Linguistics, Computational Linguistics, Computer Science, Data Science, Information Systems, or a related field, or equivalent practical experience

Preferred Qualifications:

At least 5 years of professional experience as a data scientist, software engineer, or computational linguist, including hands-on work with machine learning and integrating knowledge graphs with lexicons or ontologies
Understanding of how data interacts with and influences machine learning models
Proven experience managing large scripting projects, such as combining language data from multiple sources and computing complex metrics over extensive datasets
Skilled in designing and executing data experiments to inform product and model development
Familiarity with programming best practices, including version control, unit testing, and code quality standards
Fluency in one or more Indian/Asian languages
Advanced coursework or research in Linguistics, Computer Science, Data Science, Computational Linguistics, Information Systems, or a related discipline

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 Whats App 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.

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.

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By signing up, you agree to our Client-provided location(s): Hyderabad, India Job ID: a1KDp00000E2fxSMAREmployment Type: OTHERPosted: 2025-12-19T19:54:22Apply on company site

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

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