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Open nowPosted 83 days ago

大模型驱动的下一代智能推送算法工程师 - TikTok算法

ByteDance19,257 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now大模型驱动的下一代智能推送算法工程师 - TikTok算法ByteDance · Beijing, Chinese Mainland
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15.1% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 16 days.

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  2. 6.5%3 days
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This job: posted 83 days ago

ByteDance median: 16 days open

The posting

团队介绍:TikTok搜推算法团队,负责TikTok短视频产品的基础推荐、搜索算法,加入我们,你能接触到包括搜索、用户增长、社交、直播、内容创造、内容消费等核心业务场景,直接为核心用户体验负责,支持产品在全球赛道上高速发展。我们的工作内容包括大规模推荐算法的优化、复杂约束的优化问题的解决、多模态大模型的落地,并着力研究下一代AI Search和Chatbot的核心研发技术,包括不限于Multi-Agent、Agentic RL、Harness、Loop Engineering,探索强化学习在大模型时代的新范式。在这里,你可以深入钻研机器学习算法的改进和优化,探索前沿的技术;可以感受不同文化的碰撞,激发认知;可以通过对产品和内容生态的深度分析,影响产品未来的发展方向。

1、优化推送发送时机策略与模型;基于Reinforcement Learning、深度时序模型等提升系统择时&择频的能力,提升用户体验与相关指标; 2、应用主流和前沿的机器学习模型,如DeepFM、Uplift Model、Deep Retrival、DIN等,进行召回&粗排&精排模型优化,包括模型结构优化、特征工程以及模型性能优化等; 3、基于海量数据搭建业内领先的推送模型、策略和架构,建模用户兴趣,提升用户体验; 4、负责业务场景中的某个模块(如社交推送、直播推送、热点推送、UserGrowth等),与产品、运营团队协作规划模块未来发展,制定推送&推荐策略目标,助力业务增长; 5、进行推送内容创意的优化,包括自动生成&选择最优的文案内容、图片等素材,自动文案审核等工作; 6、技术方向:聚焦发送时机策略与模型、内容召回、排序与聚合、内容创意增长,利用海量数据构建机器学习算法和架构,强化用户兴趣建模与体验提升。

1、2027届获得硕士及以上学位,计算机、电子、数学等相关专业; 2、具备优秀的编码能力,扎实的数据结构和算法功底; 3、熟悉机器学习、大模型、自然语言处理的一项或多项,对推荐系统、计算广告、搜索引擎等相关领域有经验者优先; 4、优秀的分析问题和解决问题能力,对技术有热情,有良好的沟通表达能力和团队合作精神;具备良好的沟通协作能力,能够与团队共同探索新技术,推动技术发展;优秀的分析问题和解决问题能力,强烈的技术热情与创新意识,追求技术落地与业务价值的双重闭环;优秀的跨团队协作能力,能以技术语言驱动业务决策。

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