Your Challenge The Backend Engineer is responsible for the system to work behind the scenes. The role is to integrate the application with all required systems and services and provide clean and easy-to-use API for the
•Strategy & Planning: Develop annual, quarterly, and key promotional campaigns (e.g., 618, Double 11) strategies, sales targets, and budget plans. •TP Management & Collaboration: Serve as the primary point of contact and manager for the TP
•Market & Product Selection: Conduct in-depth analysis of Chinese consumer market trends, competitive landscape, and consumer insights. Lead the development of quarterly/annual product selection and launch plans aligned with brand positioning and market demand. •Business Feasibility
音乐生成高级算法工程师 北京 社招 全职 职位 ID:A105118 职位描述 1. 算法研发: - 设计并优化基于深度学习(如Transformer、Diffusion、GAN、VAE等)的音乐生成模型,涵盖旋律、和声、节奏、音色等多维度生成任务。 - 探索多模态音乐生成(如文本/图像/视频驱动音乐创作、哼唱转谱等)。 - 研究音乐符号(MIDI/乐谱)与音频(波形/频谱)的联合建模技术。2. 工程落地: - 将算法部署到生产环境,优化推理效率(模型压缩、蒸馏、边缘端适配)。 - 构建高质量音乐数据集,设计数据清洗、标注与评估流程。3. 跨领域协作: - 与音乐制作人合作调试生成结果的艺术性,平衡“可控性”与“创造性”。 - 参与产品需求定义,将技术转化为用户可感知的音乐创作工具。 职位要求 - 计算机科学、人工智能、信号处理、音乐技术等相关专业本科及以上学历。- 熟悉Pytorch等深度学习框架,具备4年以上序列建模或多模态生成经验。- 熟悉音乐理论(和声/调式/节奏)或具备数字音频处理(DSP)基础,能解读乐谱/MIDI。- 主导过1个以上音乐AI项目(如旋律生成、歌声合成、风格迁移等)的完整生命周期。加分项:- 发表过ICLR/NeurIPS/ISMIR等顶会论文,或拥有音乐生成相关专利。- 精通音频信号处理(STFT、CQT、声码器如HiFi-GAN、NSF)。- 熟悉音乐制作工具(Ableton Live、Logic Pro)或DAW插件开发(VST/AU)。- 参与过开源音乐AI项目(如Magenta、Jukebox、MusicLM)。 投递...
Were hiring a storyteller who produces with AI. Who were looking for Were looking for a senior content creator who thinks in film, produces like a one-person studio when needed, and knows when to bring in