Research Engineer

il y a 2 jours

Paris, France Meta Temps plein

**Research Engineer - Brain & AI Responsibilities**:

- Develop and evaluate scalable deep learning algorithms.
- Collaborate with FAIR scientists on novel research in generative modeling, complex systems, and reinforcement learning.
- Adapt machine learning and neural network algorithms to best exploit modern parallel environments (e.g. distributed clusters, GPUs, TPUs, etc.).

**Minimum Qualifications**:

- Has a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience developing machine learning algorithms or machine learning infrastructure in Python and PyTorch and Slurm.
- Strong experience in deep learning: supervised, semi-supervised, self-supervised learning and/or generative modeling.
- Industry research experience in generative AI (language, image, videos).

**Preferred Qualifications**:

- Has a PhD in the field of Computer Science, Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Publication track record at conferences such as NeurIPS, ICML, ICLR, etc.
- Software engineer experience demonstrated via an internship, work experience, coding competitions.

**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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