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Meta is seeking Research Engineers to join FAIR, our world-class research lab. We are seeking individuals to work with our reinforcement learning team to build novel algorithms grounded in solid principles that can scale to efficiently solve complex real-world problems. Our research spans different aspects of reinforcement learning with particular focus on unsup/self-supervised RL to build behavioral foundation models. The candidate should have a solid background in machine learning and reinforcement learning, with experience in building and managing complex reinforcement learning pipelines at scale.

Research Engineer Responsibilities:

• Collaborate on the development of novel behavioral foundation models that enable agents to solve a wide range of problems with little to no retraining.
• Develop the code infrastructure needed to train and test models efficiently at scale in a variety of simulated environments.
• Collaborate on building demos to illustrate scientific breakthroughs.

Minimum Qualifications:

• Effective programming skills (Python, C++)
• Currently has, or is in the process of obtaining, a Masters degree with relevant research experience in Computer Science or related fields.
• Solid background on the foundations of machine learning and reinforcement learning.
• Experience in working on complex machine learning code bases at scale.
• Experience collaborating within a research team to solve complex problems.

Preferred Qualifications:

• Lead-authored publications at peer-reviewed conferences (e.g. NeurIPS, ICLR, CVPR or similar)
• Currently has, or is in the process of obtaining, a PhD degree in Computer Science or related fields.
• Demonstrated machine learning experience in one of the following: internship, open-source activity, data science competitions
• Experience in creating high-performance implementations in deep learning frameworks (such as pytorch, tensorflow).
• Experience in using complex simulation platforms.

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.