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Software Engineer - Language (Technical Leadership)

Meta

Software Engineer - Language (Technical Leadership)

Meta

New York, NY

·

On-site

·

Full-time

·

1mo ago

Compensation

$219,000 - $219,000

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Flexible work arrangements

Professional development budget

Equity

Healthcare

Flexible Hours

Learning

Required Skills

PostgreSQL

Node.js

React

Meta is seeking AI Software Engineers to join our Research & Development teams. The ideal candidate will have industry experience working on Language related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Software Engineer

  • Language (Technical Leadership) Responsibilities:
  • Apply relevant AI and machine learning techniques to build intelligent rich language systems that improve Meta's products and experiences
  • Assist in goal setting related to project impact and system architecture
  • Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
  • Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
  • Technically lead in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions
  • Mentor other AI Engineers & improve the quality of AI work in the broader team
  • Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
  • Effectively communicate complex features and systems in detail
  • Write clean readable code and debug complex problems that span systems
  • Understand industry & company-wide trends to help assess & develop new technologies
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Specialized experience in one or more of the following machine learning/deep learning domains: Language: NLP, ASR, TTS, Conversational AI
  • Experience developing language algorithms or language infrastructure in C/C++ or Python

Preferred Qualifications:

  • Experience in deep learning and Py Torch
  • Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision
  • Experience with distributed systems or on-device algorithm development
  • Experience in driving large cross-functional/industry-wide engineering efforts
  • Significant experience in mentoring/influencing engineers across organizations
  • Experience contributing to AI Publications

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.

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.

$219,000/year to $301,000/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.

Contact & Location

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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 · Product Designer

1,471 reports

$273,432

total / year

Base

$180,290

Stock

$72,619

Bonus

$20,523

$186,170

$416,421

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