채용
Benefits & Perks
•Wellness benefits
•Remote work flexibility
•Flexible PTO policy
•Parental leave program
•Learning and development stipend
•Health, dental, and vision coverage
Required Skills
Apache Spark
PyTorch
TensorFlow
Meta is seeking a postdoctoral researcher to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in out-of-distribution generalization of foundation models. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. Recent examples include the LLa Ma family of Large Language Models (LLMs) and tool-augmented language models. We seek experts in the area of out-of-distribution generalization to help understand the generalization capabilities of modern AI systems and build new architectures and frameworks that achieve the next frontier of generalization. We also collaborate with the Meta Generative AI and other organizations to push the insights at scale.
Postdoctoral Researcher (PhD) - Core Learning Responsibilities:
- Conduct research at the interface of LLMs and OOD generalization
- Disseminate findings of research by publishing papers in high impact conferences
- Hands-on research work, both theoretical and experimental
Minimum Qualifications:
- PhD degree in Computer Science, Computer Engineering, Applied Sciences, Mathematics, Physics
- Python, Py Torch
- Track record of publishing papers in high quality journal and conferences
- Some publications in high quality journal and conferences
- Mathematical command of learning theory
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
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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