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Linguistic Engineering Manager

Meta

Linguistic Engineering Manager

Meta

Hyderabad, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Flexible work arrangements

Generous paid time off and holidays

Parental leave

Learning

Flexible Hours

Parental Leave

Required Skills

JavaScript

Python

Node.js

Meta is seeking a Linguistic Engineering Manager, you will lead a team of linguistic engineers in designing and developing datasets, models, and representations across Asian / Indian languages, knowledge, and evaluation systems that drive our AI multimodal assistant. You will communicate a mission and strategy for your team, aligned with organizational objectives and key business outcomes. In collaboration with cross-functional teams, you will drive the development of innovative solutions, leveraging experience in dataset creation/collection, evaluation methodologies, and model enhancements to advance AI products, including Large Language Models. A key aspect of this role is leadership and talent development, fostering an environment of collaboration and guiding team members to success.

Linguistic Engineering Manager Responsibilities:

  • Develop and execute a comprehensive Linguistic Engineering roadmap, aligning with organizational AI objectives and deliverables
  • Strategically plan and implement technical initiatives to advance AI voice assistants programs
  • Drive projects from conceptualization through launch and beyond with continual improvement and support
  • Drive advancements in conversational AI systems across the full AI-Assistant stack
  • Communicate complex technical information, changes, risks, and results with utmost clarity to executive leadership, stakeholders, and partners
  • Manage project timelines, resource allocation, and team staffing to ensure timely and successful delivery of projects
  • Partner with project stakeholders and collaborate seamlessly with cross-functional teams
  • Provide technical and scientific guidance to team members and partners, promoting best practices and knowledge sharing
  • Mentor the growth of linguists and managers to amplify their contributions

Minimum Qualifications:

  • Bachelor's degree in Computer Systems Engineering or equivalent experience
  • 8+ years of work experience as data scientist, software engineer, computational linguist or in a similar role
  • 3+ years of experience directly managing a team of data scientists, software engineers, or computational linguists or similar
  • Experience with programming and data analysis with languages and platforms such as Python, Jupyter, and SQL
  • Experience in shipping and evaluating AI/ML-based products
  • Experience with text analysis, scripting, relational database, No SQL databases or similar
  • Experience recruiting and managing technical teams, including performance management
  • Demonstrated experience collaborating with other internal and external teams
  • Experience shipping multiple products across various platforms

Preferred Qualifications:

  • Familiarity with version control, unit tests, and other programming best practices
  • 5+ years of relevant industry experience managing technical teams as part of a consumer-facing application
  • Master's or PhD with a specialization in Computational Linguistics, AI, speech programs, natural language processing, or machine learning, or related fields
  • 5+ years of experience directly managing a technical team
  • Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, etc
  • Demonstrated understanding of the relationship between data and large language models
  • 10+ years of work experience as data scientist/software engineer/computational linguist, with experience in conversational AI, conducting scaled experiments and evaluations tied to product/user experience improvements
  • Proficiency in additional languages
  • Experience designing and conducting data experiments

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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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding