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- Over 2.9 billion monthly active users across platforms
- Headquartered in Menlo Park, California
- Valued at over $800 billion
- Significant investments in Oculus and AR/VR technology
Meta (formerly Facebook) is a leading technology company focused on building the metaverse, with over 2.9 billion monthly active users across its platforms, including Facebook, Instagram, and WhatsApp. Headquartered in Menlo Park, California, Meta has invested heavily in virtual reality and augmente...
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Meta fosters a culture of innovation and experimentation, encouraging employees to take risks and explore new ideas. The company emphasizes a mission-...

Research Scientist β’ Staff
Meta (Facebook) β’ Paris
Skills & Technologies
Overview
Meta is hiring a Staff Research Scientist to focus on personal multi-agent systems. You'll work on topics like cooperative and social LLM agents, multi-agent planning, and reinforcement learning. This role requires expertise in AI and multi-agent systems.
Job Description
Who you are
You have a strong background in artificial intelligence and machine learning, particularly in reinforcement learning and multi-agent systems. Your experience includes working on complex algorithms that enable agents to collaborate and improve over time. You are familiar with the latest advancements in cooperative and social LLM agents, and you understand the intricacies of multi-agent planning and reasoning.
You possess a deep understanding of self-improvement techniques and evolutionary algorithms, which are crucial for developing agents that can adapt and learn in dynamic environments. Your expertise extends to human-agent collaboration, where you have successfully implemented systems that enhance interaction between humans and AI agents.
Your technical skills are complemented by a collaborative mindset, allowing you to work effectively within a team. You are comfortable engaging with cross-functional teams to drive projects forward and are passionate about pushing the boundaries of what is possible with AI.
Desirable
Experience with simulation environments and tool use is a plus, as it will help you contribute to the development of robust multi-agent systems. Familiarity with programming languages and frameworks commonly used in AI research will also be beneficial.
What you'll do
In this role, you will lead research initiatives focused on personal multi-agent systems, exploring how these agents can operate autonomously in real-world scenarios. You will design and implement algorithms that enable agents to learn from their environment and improve their performance over time.
You will collaborate with other researchers and engineers to develop innovative solutions that address complex challenges in multi-agent planning and reasoning. Your work will involve conducting experiments, analyzing data, and publishing findings to contribute to the broader AI research community.
You will also be responsible for mentoring junior researchers and fostering a culture of knowledge sharing within the team. By guiding others, you will help elevate the team's overall expertise and drive impactful research outcomes.
What we offer
Meta provides a dynamic work environment where you can engage with cutting-edge technology and contribute to groundbreaking research. You will have access to resources and support to pursue your research interests and collaborate with some of the brightest minds in the field.
We encourage you to apply even if your experience doesn't match every requirement. Your passion for AI and commitment to advancing the field are what truly matter to us. Join us in shaping the future of personal multi-agent systems and making a meaningful impact in the world of AI.
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