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Software Engineering Manager, AI Media Foundations

Meta

Software Engineering Manager, AI Media Foundations

Meta

Menlo Park, CA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health, dental, and vision coverage

Wellness benefits

Parental leave program

Remote work flexibility

Annual team offsites

Required Skills

SQL

PyTorch

Airflow

About Us

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

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

View Company Profile

We are seeking a Software Engineering Manager to join the Media Foundation team. This leader will drive applied research and development in the areas of computer vision, generative AI for media, and media optimization and efficiency, with a particular focus on media generation and enhancement.

Software Engineering Manager, AI Media Foundations Responsibilities:

  • Lead and mentor a team of research engineers and scientists working on cutting-edge media technologies
  • Drive the strategy and execution of research initiatives in computer vision, generative AI for media, and media optimization
  • Collaborate with cross-functional teams to translate research breakthroughs into scalable products and solutions
  • Lead the development of new algorithms and systems for media generation, enhancement, and efficiency
  • Stay abreast of the latest advancements in AI, computer vision, and media technologies, and apply them to Meta's products

Minimum Qualifications:

  • PhD or equivalent experience in Computer Science, Electrical Engineering, or a related field
  • 8+ years of experience in research and development in computer vision, generative AI, or related media technologies
  • 2+ years of experience managing technical teams, including performance management
  • Proven track record of leading research teams and delivering impactful results
  • Expertise in media generation, enhancement, and optimization
  • Experience with large-scale systems and productization of research

Preferred Qualifications:

  • Experience with deep learning frameworks (e.g., Py Torch, Tensor Flow)
  • Prior experience in managing cross-functional or multi-disciplinary teams
  • Familiarity with media compression, streaming, and real-time processing
  • Demonstrated skills to drive efficiency and optimization in media pipelines

**About Meta:Email Address

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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@meta.com.

$184,000/year to $257,000/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): Menlo Park, CA

Job ID: a1KDp00000CZJTNMA5

Employment Type: OTHER

Posted: 2025-12-19T19:54:23
Apply 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

Company Videos

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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