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Open nowPosted 291 days ago

AI应用架构师 - 移动OS

ByteDance19,206 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI应用架构师 - 移动OSByteDance · Beijing, Chinese Mainland
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Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 291 days ago

ByteDance median: 2 days open

The posting

团队介绍:我们隶属于产品研发与工程架构部,是字节跳动在智能硬件领域的软件技术攻坚力量—— 聚焦 AI 与智能硬件的深度融合,如豆包手机助手等;以 “让人与设备的交互更自然、更便捷” 为目标,探索前沿 AI 技术的落地场景,打造行业领先的智能硬件综合解决方案。 在这里,你将与一支顶尖技术团队并肩: - 直击 AI 与硬件结合的核心技术难题,参与从 “技术探索” 到 “场景落地” 的全链路研发; - 主导或深度参与关键技术突破,用创新定义智能硬件的交互未来; - 站在行业前沿,将技术理想转化为千万用户可感知的产品体验。 如果你心怀对技术的热忱,渴望在 AI 与智能硬件的赛道上突破自我、创造价值,我们期待你的加入,与我们一起解锁更多技术可能,共筑智能交互的新生态!

1、负责大模型应用落地全流程工作,包括但不限于数据、训练、评测、推理部署,以及工程链路的建设; 2、LLM算法应用研究与算法落地工作,包括但不限于语言LLM、多模态LLM,Prompt工程/RAG/Agents/SFT/RLHF等LLM相关前沿技术; 3、持续探索在各种用户场景下,利用AI能力增强业务迭代效果; 4、深度参与产品研发项目,和产品经理、业务研发、质量等同学密切配合,提高项目整体收益。

1、计算机相关专业本科及以上学历,具有LLM开发和实际落地经验; 2、具备LLM相关算法的扎实基础,包括但不限于单模态/多模态LLM训练(RAG/SFT/RLHF/Prompt)、部署和蒸馏等领域的全面学习和实践经验; 3、熟悉主流的BERT/Transformer/ViT/Clip等主流预训练模型,熟练掌握TensorFlow/PyTorch/Keras等任一主流机器学习框架; 4、有较强的业务问题到算法模型的建模能力,有强烈的技术好奇心、自驱力和进取心,能及时关注和学习业界最佳实践。

加分项: 1、有智能终端、穿戴式设备上AI应用落地经验优先。

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