Research Engineer

Il y a 5 mois


Paris, France Meta Temps plein

**Research Engineer - FAIR Responsibilities**:

- Optimize, profile, and improve large language models for research and for deployment
- Define use cases and develop methodology and benchmarks to evaluate different approaches
- Push the boundaries of the capabilities of code generation models beyond the current state of the art

**Minimum Qualifications**:

- BS, MS or Ph.D. degree in Computer Science or related quantitative field
- Experience publishing papers in machine learning, computer vision, NLP, or signal processing
- Industry experience in machine learning research and deployment
- Programming: Python, PyTorch
- ML theory: reinforcement learning, optimization, supervised and unsupervised learning, regularization
- ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization, model-parallel
- ConvNets and Transformer-based models

**Preferred Qualifications**:

- Experience with distributed systems or on-device algorithm development
- Knowledge of compilers implementation and programming languages implementation
- Experience with Python and PyTorch or Jax
- Experience with leading research projects until publication
- Industry experience with C++, CUDA High performance code and profiling experience
- Working with distributed multi-disciplinary teams

**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 WhatsApp 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.


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