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Research Scientist -Human Understanding (Physiology,Activity,State) on Wear at Meta
Zurich, Zurich, Switzerland -
Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

0.0

Posted On

24 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Applied Research, Language Models, Multimodal Models, Agentic Systems, Deep Learning, Machine Learning, Robotics, Computer Vision, Python, C/C++, Digital Signal Processing, Multi-Agent Systems, Reinforcement Learning, Collaboration, Simulation Environments, Tool Use

Industry

Software Development

Description
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. 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 Minimum Qualifications 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 Preferred Qualifications Industry experience in building and deploying sensing systems Proven development skills in digital signal processing
Responsibilities
Conduct applied research to advance the state of the art in Language and Multimodal Models and Agentic systems. Collaborate with different cross-functional teams across the globe in research and product.