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Open nowPosted 267 days ago

模型优化算法专家-PICO

ByteDance19,227 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now模型优化算法专家-PICOByteDance · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

11.8% 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. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 267 days ago

ByteDance median: 2 days open

The posting

1、面向XR眼镜“端侧采集-传输-云端理解/识别”的全链路,设计并落地端云协同的内容压缩与传输方案,在低时延、低功耗、弱网鲁棒的约束下,保证云端模型任务精度不下降并满足可上线交付标准; 2、探索并落地结合VLM,提升XR交互效率与用户体验:利用语义理解与目标/区域重要性建模进行码率分配、Token裁剪、模型部署或云端优化方案(如投机采样、模型量化),包括GUI交互优化及基于环境的主动推荐系统; 3、研究并实现面向XR场景的图像压缩算法体系(预测/熵编码/率失真优化/感知优化等),针对端侧算力、带宽与功耗约束进行工程化优化与性能分析; 4、构建评测与数据闭环:定义AR/XR场景压缩指标与验收协议(码率、端到端时延、功耗、画质指标及任务指标),建立可复现的端云联合评测、回归与A/B验证体系,驱动策略与模型持续迭代。

1、本科及以上学历,计算机、电子、数学等相关专业; 2、熟练使用C/C++/Python之一或多种,具备良好的工程习惯与性能优化能力; 3、有VLM应用与优化经验:能够在压缩链路中引入VLM进行语义理解/重要性建模/区域标注或质量控制,具备模型部署或云端服务化经验(如投机采样、模型量化)、Token裁剪后训练算法(SFT+RL); 4、具备“端侧-云端”联合优化相关研发经验,能独立完成算法设计、性能剖析与工程落地,且有可量化成果,如码率降低、延迟降低、功耗降低中的一种或多种; 5、具备端云协同系统设计与优化实践:熟悉端侧推理/多线程与内存优化、硬件加速(如GPU/NPU/DSP)、网络自适应(拥塞控制/码率自适应/重传策略)中的一种或多种。

加分项: 1、具有扎实的算法和机器学习基础,熟悉LLM、VLM、Agent等领域技术;或在顶级会议上发表过论文; 2、在真实产品中实现过显著业务收益:有AR/VR/MR或移动端相关经验;或作为核心成员解决过“端侧采集-传输-云端理解/识别”传输受限场景下的大模型部署的关键问题; 3、有结合深度学习进行压缩(如超分/去噪辅助、感知损失/对抗训练等)或后处理的实践,如SFT、RL(PPO、GRPO、GenRM)等,并实现出显著的性能与效果提升。

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