Jobs
Benefits & Perks
•401(k) matching
•Competitive salary and equity package
•Team events and activities
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Professional development budget
•Equity
•Healthcare
•Learning
Required Skills
Python
PostgreSQL
TypeScript
About Us
Meta builds technologies that help people connect, find communities and grow businesses.
Size: 10000+ employees
Industry: Engineering, Social Media, Technology
Meta is seeking hands-on Research Engineering Manager to join the Meta Super Intelligence Labs (MSL), making direct contributions to the next generation of Generative AI models. The MSL Assistant's team is building next generation LLM model for our Meta AI chatbot. This leader will drive applied research and development in the area of LLM post-training with a particular focus on model behavior research and improving response quality.
Research Engineering Manager
Meta Super Intelligence Labs Responsibilities:
- Lead and mentor a team of research engineers and scientists working on cutting-edge LLM technologies
- Drive the strategy and execution of research initiatives in LLM response quality improvement
- Collaborate with cross-functional teams to translate research breakthroughs into scalable products and solutions
- Lead the development of new algorithms and systems for LLM post-training, evaluation and efficiency
- Stay abreast of the latest advancements in AI, large language modeling and apply them to Meta's products
Minimum Qualifications:
- Master's degree or PhD in Computer Science, Electrical Engineering, or a related field
- 8+ years of experience in research and development in natural language processing, 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
- Experience with large-scale systems and productization of research
- Experience in LLM post-training, evaluation and optimization
**Preferred Qualifications:Email Address
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- Prior experience in managing cross-functional or multi-disciplinary teams
- Prior experience in building LLM foundation models
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@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: a1KDp00000CZKF7MAP
Employment Type: OTHER
Posted: 2025-12-19T19:54:22
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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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About Meta

Meta
PublicA 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
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