{"code":0,"data":{"job_post_detail":{"id":"7446242118560399468","title":"大模型算法研究员-MiMo","description":"1. 创新深度神经网络设计：\n  - 开发新颖、开拓性的深度神经网络架构，推动深度学习领域的基础研究。\n  - 针对多模态（文本、图像、语音等）设计优化模型，提高模型的泛化能力和应用性能。\n2. 科学评测体系构建：\n  - 构建科学严谨的算法评测方法，系统评估模型的性能。\n  - 探索模型能力的潜在机制，推动模型优化和创新。。\n3. 高质量数据合成与处理：\n  - 通过数据生成、扩充和重写等方法，创建大规模、高质量的训练数据集。\n  - 结合指令调优、偏好对齐等技术提升数据质量与模型表现。\n4. 强化学习优化：\n  - 研究并实施基于RLHF/RLAIF的偏好对齐技术，提升模型在多领域的应用能力。\n  - 探索和优化主动学习、课程学习等有效的大模型训练方法。","requirement":"1. 学术能力：\n  - 精通深度学习、强化学习（RL）、自然语言处理（NLP）等领域，具备创新研究能力。\n  - 在相关领域的国际顶会或期刊发表高质量论文（如 NeurIPS、ICML、CVPR、ICLR、ACL 等）。\n  - 在领域内知名比赛（NOI、IOI、IPhO、ACM、Kaggle 等）中取得优异成绩者优先。\n2. 编程能力：\n  - 熟练掌握 Python、C++ 或其他编程语言，具备扎实的数据结构与算法基础。\n  - 熟悉主流深度学习框架（如 PyTorch、TensorFlow），能够高效实现复杂模型。\n3. 实战经验：\n  - 有大型模型训练及优化经验者优先，熟悉 LLM（大语言模型）训练和应用全流程。\n  - 有影响力的项目经验或相关实习经历者优先。\n4. 团队合作与沟通能力：\n  - 具备优秀的团队协作和沟通能力，能够推动团队共同解决复杂技术问题。\n加分项\n- 熟悉大型模型训练技术，包括预训练、SFT（监督微调）、RLHF\u0026O1（基于人类反馈的强化学习）。\n- 在多模态建模（如图像-文本、语音-文本对齐）领域有相关研究经验。\n- 对 LLM 的推理和规划有深入","recruit_type":{"id":"101","name":"全职","en_name":"Full-time","i18n_name":"全职","depth":2,"parent":{"id":"1","name":"社招","en_name":"Experienced","i18n_name":"社招","depth":1,"children":[],"active_status":1,"selectability":1},"children":[],"active_status":1,"selectability":1},"publish_time":1733714540145,"channel_online_status":1,"code":"A212487","job_id":"7446242118560333932","city_list":[{"code":"CT_11","name":"北京","en_name":"Beijing","location_type":3,"i18n_name":"北京","py_name":"beijing","mdm_code":"MDCY00000001","node_status":1}],"job_post_info":{"recruitment_type":{"id":"101","name":"全职","en_name":"Full-time","i18n_name":"全职","depth":2,"parent":{"id":"1","name":"社招","en_name":"Experienced","i18n_name":"社招","depth":1,"children":[],"active_status":1,"selectability":1},"children":[],"active_status":1,"selectability":1},"HighlightList":[],"JobChannelPublishList":[],"job_post_object_value_map":{},"address_list":[],"city_list":[],"correlation_job_list":[],"tag_list":[],"storefront_list":[],"target_major_list":[],"job_post_process_time_list":[],"job_level_id_list":[]},"city_info_list_for_delivery":[{"code":"CT_11","name":"北京","en_name":"Beijing","location_type":3,"i18n_name":"北京","py_name":"beijing","mdm_code":"MDCY00000001","node_status":1}],"tag_list":[],"storefront_mode":1,"storefront_list":[],"process_type":1},"recommend_job_post_List":[]},"message":"ok","error":null}