腾讯招聘Researcher- Agent
招聘职位：
Researcher- Agent 搜索同类职位
岗位职责：
1. Conducting cutting-edge algorithm research, with a focus on the design and optimization of scalable RL frameworks and algorithms for Agents with various environments, including Web Agent, GUI Agent. Research areas include but are not limited to RL Algorithms, Reward Modeling, World Models, GUI Agent, and Web Agent.
2. Conduct large-scale experiments of technology and algorithm innovations in scenarios such as autonomous agents and self-improving agents, deliver impactful algorithms for real world applications, and publish influential research papers.
Work Location: US-Washington-Bellevue
岗位要求：
1. Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university.
2. Experience of working in leading global companies in the field of large foundation models.
3. Proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch or TensorFlow.
4. Strong academic background, with publications in top-tier conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP; experience in deep learning research or engineering projects.
5. Excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation.
1. Conducting cutting-edge algorithm research, with a focus on the design and optimization of scalable RL frameworks and algorithms for Agents with various environments, including Web Agent, GUI Agent. Research areas include but are not limited to RL Algorithms, Reward Modeling, World Models, GUI Agent, and Web Agent.
2. Conduct large-scale experiments of technology and algorithm innovations in scenarios such as autonomous agents and self-improving agents, deliver impactful algorithms for real world applications, and publish influential research papers.
Work Location: US-Washington-Bellevue
岗位要求：
1. Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university.
2. Experience of working in leading global companies in the field of large foundation models.
3. Proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch or TensorFlow.
4. Strong academic background, with publications in top-tier conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP; experience in deep learning research or engineering projects.
5. Excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation.
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