字节跳动Recommendation Large Model Algorithm Engineer | 推荐大模型算法研究工程师-TikTok 算法-筋斗云人才计划
任职要求
1. Got doctor degree, preferably in Artificial Intelligence, Computer Science, Mathematics, or other related fields. 2. Strong programming skills with a good foundation in data structures and fundamental algorithms. Proficient in various algorithmic and engineering frameworks. 3. Publications in top-tier international conferences or journals (including but not limited to ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR etc.) is a plus. 4. Strong foundation in machine learning, with …
工作职责
Team Introduction: TikTok is a global short-video platform available in 150 countries and regions. Our mission is to inspire creativity and bring joy by helping users discover real and interesting moments that make life better. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo. TikTok Research & Development (R&D) Team: The TikTok R&D team is dedicated to building and maintaining industry-leading products that drive the success of TikTok’s global business. By joining us, you'll work on core scenarios such as user growth, social features, live streaming, e-commerce consumer side, content creation, and content consumption, helping our products scale rapidly across global markets. You'll also face deep technical challenges in areas like service architecture and infrastructure engineering, ensuring our systems operate with high quality, efficiency, and security. Meanwhile, our team also provides comprehensive technical solutions across diverse business needs, continuously optimizing product metrics and improving user experience. Here, you'll collaborate with leading experts in exploring cutting-edge technologies and pushing the boundaries of what's possible. Every line of your code will serve hundreds of millions of users. Our team is professional and goal-oriented, with an egalitarian and easy-going collaborative environment. Research Project Introduction: With the advancement of hardware computing and the continuous breakthroughs of large models in CV/NLP/multimodal learning and even AGI fields, the large computing driven in recommendation scenarios are increasingly capable of capturing user preferences in a more comprehensive and nuanced way. This enables a deeper understanding of user needs and the discovery of latent interests, ultimately leading to enhanced user experiences. As a critical component of short video recommendation systems, the ranking module is responsible for fine-grained matching between users and content, selecting the videos users are most likely to be engaged with. In this context, the key research focus is how to best leverage large computing to maximize the model’s memory, generalization, and reasoning capabilities. 团队介绍： TikTok是一个覆盖150个国家和地区的国际短视频平台，我们希望通过TikTok发现真实、有趣的瞬间，让生活更美好。TikTok 在全球各地设有办公室，全球总部位于洛杉矶和新加坡，办公地点还包括纽约、伦敦、都柏林、巴黎、柏林、迪拜、雅加达、首尔和东京等多个城市。 TikTok研发团队，旨在实现TikTok业务的研发工作，搭建及维护业界领先的产品。加入我们，你能接触到包括用户增长、社交、直播、电商C端、内容创造、内容消费等核心业务场景，支持产品在全球赛道上高速发展；也能接触到包括服务架构、基础技术等方向上的技术挑战，保障业务持续高质量、高效率、且安全地为用户服务；同时还能为不同业务场景提供全面的技术解决方案，优化各项产品指标及用户体验。 在这里， 有大牛带队与大家一同不断探索前沿， 突破想象空间。 在这里，你的每一行代码都将服务亿万用户。在这里，团队专业且纯粹，合作氛围平等且轻松。 课题介绍： 随着硬件算力的发展以及大模型在CV/NLP/多模态以至于AGI领域的不断突破，推荐场景下的大算力驱动能够帮助模型更全面深刻理解用户偏好，进而更好地理解用户需求，挖掘用户潜在兴趣，进而带来更好地用户体验。排序模块作为整个短视频推荐系统中非常重要的一环，承载着用户与视频之间的细粒度匹配挖掘进而挑选出用户最感兴趣的视频。如何找到合适的路径来最大化大算力下模型的记忆、泛化、推理能力，成为了研究的重中之重。
Partnership Development: Identify, negotiate, and secure partnerships with MNOs and MVNOs globally. Maintain strong relationships to ensure long-term collaboration and mutual growth. Contract Negotiation: Lead negotiations for partnership agreements, ensuring alignment with company strategy and objectives. Manage the end-to-end process from initial contact to contract signing. Market Expansion: Develop and implement strategies to expand the availability and reach of travel essentials products, driving market share growth in key regions. Product Enhancement: Collaborate with partners to develop and launch new products or services that meet the needs of travelers. Provide market insights to optimize product offerings and enhance customer satisfaction. Cross-functional Collaboration: Work closely with internal departments such as marketing, operations, and customer service to ensure seamless integration and execution of different projects. Performance Monitoring: Regularly review and analyze partner performance metrics. Provide insights and recommendations to improve outcomes and maximize ROI. Market Research: Conduct ongoing research on industry trends, competitor activities, and technological advancements in the telecom sector. Use this information to inform strategy and drive innovation. Reporting: Prepare regular reports on business partnership activities, market trends, and performance metrics for senior management.
1. Plan and execute various platform level promotions: include big promotion such as Black Friday or seasonal rebajas, to drive platform level uplift and make the sales reach to new height, and several monthly campaigns which serve different objectives: increase seasonal sub-categories, boost re-purchase rate, assist incubation, drive top brands or top assortment 2. Think from both seller and buyer points of view. 3. Leverage analytical data to point out the critical factors or measurable metrics to enhance promotion performance, improve SOP or raise new promotional initiatives. 4. Work with Product and User Experience Design team to identify improvement areas that can largely improve business results and better user experience.
1、负责搜索推荐流量策略的规划与设计，提升用户搜索和推荐的体验及转化效果。 2、分析用户行为数据，挖掘用户需求，优化流量分配策略，提高用户粘性和活跃度。 3、与技术、运营、数据团队紧密合作，推动策略的实施和迭代，确保产品目标的达成。 4、跟踪竞品动态，研究行业趋势，不断优化产品功能，提升搜索推荐的竞争力。 5、负责跨部门协调沟通，确保项目顺利进行，对产品效果进行持续监控和优化。 1、Responsible for planning and designing search and recommendation traffic strategies to enhance user experience and conversion. 2、Analyze user behavior data, uncover user needs, and optimize traffic allocation strategies to increase user stickiness and activity. 3、Collaborate with technical, operational, and data teams to drive strategy implementation and iteration, ensuring product goals are met. 4、Monitor competitors, research industry trends, and continuously optimize product features to enhance search and recommendation competitiveness. 5、Coordinate with cross-functional departments to ensure smooth project progress and continuously monitor and optimize product performance.
1、负责搜索推荐流量策略的规划与设计，提升用户搜索和推荐的体验及转化效果。 2、分析用户行为数据，挖掘用户需求，优化流量分配策略，提高用户粘性和活跃度。 3、与技术、运营、数据团队紧密合作，推动策略的实施和迭代，确保产品目标的达成。 4、跟踪竞品动态，研究行业趋势，不断优化产品功能，提升搜索推荐的竞争力。 5、负责跨部门协调沟通，确保项目顺利进行，对产品效果进行持续监控和优化。 1、Responsible for planning and designing search and recommendation traffic strategies to enhance user experience and conversion. 2、Analyze user behavior data, uncover user needs, and optimize traffic allocation strategies to increase user stickiness and activity. 3、Collaborate with technical, operational, and data teams to drive strategy implementation and iteration, ensuring product goals are met. 4、Monitor competitors, research industry trends, and continuously optimize product features to enhance search and recommendation competitiveness. 5、Coordinate with cross-functional departments to ensure smooth project progress and continuously monitor and optimize product performance.