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Job Description

  1. 核心模型优化:主导语音识别、多模态融合等座舱核心模型后训练与精调,突破 Code-Switching(中英混杂)、方言 - 普通话混合识别难点,提升指令解析准确率。
  2. 交互能力搭建:设计座舱 Agent Function Calling 框架,优化自然语言意图到车控 API 的精准映射,解决多轮对话、上下文指代等复杂交互的参数填充与依赖推理。
  3. 多模态融合:研发视觉、语音、触控、车态信号四模态融合决策模型,处理跨模态冲突场景,优化多模态协同决策效率。
  4. 落地与适配:负责模型与座舱软硬件的协同适配,支撑产品研发、Demo 验证及车展展示需求,主导相关技术规范制定。
  1. 学历与经验:本科及以上,计算机、AI 相关专业,3-5 年及以上 AI 模型后训练经验,有智能座舱 / 车载 AI 项目经验者优先
  2. 技术能力:精通 TensorFlow/PyTorch,掌握模型微调、量化、蒸馏全流程;熟悉语音识别、多模态融合算法,具备 Code-Switching、多模态冲突处理实战经验。
  3. 实战能力:能独立设计后训练方案,主导核心模块攻坚,有团队指导经验者优先;具备强问题分析与技术落地能力,适配研发节奏。
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Bosch
Automotive & Mobility · 500+ Members · Stuttgart, Germany

Bosch is a diversified engineering and technology group active in mobility, industrial technology, consumer goods, and energy and building technology. Its businesses produce automotive systems, power tools, home appliances, factory technology, sensors, software, and connected solutions. The company combines large-scale manufacturing with research in electronics, software, AI, automation, and the Internet of Things. Bosch supplies consumers as well as automotive, industrial, commercial, and infrastructure customers through operations around the world.

All jobs at Bosch

Location

China

Job Overview
Job Posted:
2 months ago
Workplace
On-site
Job Type
Full Time
Education
Any
Experience
3+ years

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