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Postdoctoral Researcher (PhD) - Core Learning

Meta

Postdoctoral Researcher (PhD) - Core Learning

Meta

Paris, France

·

On-site

·

Full-time

·

1mo ago

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

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