Research Engineering - FAIR Core Learning & Rea...
@ Meta

Tel Aviv-Yafo, Tel Aviv District, Israel
$180,000
On Site
Full Time
Posted 1 day ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXX****** @meta.com
Recommended after applying

Job Details

About the Role

The Research Engineering - FAIR Core Learning & Reasoning role at Meta is for an experienced Software Engineer to join the Generative Modeling Foundations (GMF) team. The position focuses on engineering aspects of developing new generative paradigms for language and media generative models.

Responsibilities

  • Design methods, tools, and infrastructure for advancing large language and media generative models
  • Adapt machine learning methods to exploit modern parallel environments and GPUs
  • Contribute to experimental design, evaluations, baseline implementations, and result organization
  • Maintain codebases, contribute to publications and support open sourcing efforts

Minimum Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering or equivalent experience
  • 5+ years in software development with large scale systems experience
  • Proficiency in Python and C++
  • Proactive learner with strong debugging and performance optimization skills

About Meta

Meta builds technologies that help people connect and build communities. From Facebook to immersive experiences in AR/VR, Meta continues evolving social technology. Joining Meta means influencing the future of digital connection beyond screens, distance, and physical boundaries.

Key skills/competency

  • Software Engineering
  • Large Language Models
  • Media Generative Models
  • Python
  • C++
  • Machine Learning
  • Parallel Computing
  • Performance Optimization
  • Debugging
  • Infrastructure Design
Apply without a personalized resume

How to Get Hired at Meta

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to Meta's generative models focus.
  • Showcase projects: Emphasize Python and C++ development expertise.
  • Prepare technical stories: Practice discussing large scale systems and debugging.
  • Research Meta: Understand their mission and recent technological ventures.

📝 Interview Preparation Advice

Technical Preparation

Review Python algorithms and C++ fundamentals.
Practice large scale system design problems.
Study GPU parallel processing techniques.
Refresh debugging and performance testing methods.

Behavioral Questions

Describe a challenge overcoming system limits.
Explain a time you debugged complex code.
Discuss learning new technologies quickly.
Share experience managing project timelines.

Frequently Asked Questions