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We are building a team focusing on personal multi-agent systems, that will go out in the world and act on our behalf. The team covers a broad range of topics, including cooperative and social LLM agents, multi-agent planning and reasoning, self-improvement and evolutionary techniques, multi-agent reinforcement learning, human-agent collaboration, simulation environments and tool use.
AI Research Scientist - XR Tech Responsibilities:
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.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
AI Research Scientist - XR Tech Responsibilities:
- Conduct applied research to advance the state of the art in Language / Multimodal Models and Agentic systems
- Consistently and sustainably advance the state of the art for your problem, including setting and executing against roadmaps for 6-month plus timeframes
- Collaborate with different cross-functional teams across the globe in research and product
- PhD in Computer Science or a related field with published projects in the fields of machine learning, deep learning, robotics, large language models and/or computer vision
- Proven development skills in Deep Learning, working with PyTorch or TensorFlow
- Experience developing LLM algorithms or infrastructure in Python or C/C++
- First-authored publications at peer-reviewed conferences, e.g. ICLR, ICML, CVPR, ECCV, ICCV, NeurIPS, SIGGRAPH
- Industry experience in building and deploying sensing systems
- Proven development skills in digital signal processing
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.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Key Skills
Ranked by relevance
deep learning
machine learning
simulation
pytorch
python
2d
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- Posted
- Oct 11, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Zurich
- Company
- Meta
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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