Liftoff is the leading growth acceleration platform for the mobile industry, helping advertisers, publishers, game developers and DSPs scale revenue growth with solutions to market and monetize mobile apps. Liftoff’s solutions, including Accelerate, Direct, Influence, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. This role will be part of the Traffic Management Team focused on Vungle Exchange, which is dedicated to optimizing the digital advertising landscape, ensuring the strategic allocation and efficient flow of ad traffic across our platform. We aim to enhance the user experience for both publishers and advertisers through the use of advanced traffic throttling, machine learning models, and cutting-edge fraud detection strategies. This team ensures the precision and effectiveness of ad delivery, contributing to Liftoff's mission of scaling revenue growth for mobile businesses. RESPONSIBILITIES: - Own both the ML models and the underlying software tooling and infrastructure. Our ML Engineer role combines the classic "ML Scientist" and "Data Engineer" role at other companies. - Have a closed feedback loop from hypothesis generation to live AB testing, with no cross-team friction and sub-day iteration cycles. - Take on unique modeling challenges not covered in the scientific literature, like extreme positive sample sparsity and labeling delay. - Work with modeling techniques at the state-of-the-art of probability prediction, as well as a multitude of other ML areas. - Become an expert in Python, Go, and the many other cutting-edge open source technologies that maximize our development velocity. - Join a nimble, consistently excellent, and experienced engineering team (former Google/LI/Ooyala/etc). REQUIREMENTS: - Strong experience in Python Very strong coding ability (experience in Go, C, C++, or Rust is a plus). - 8+ yrs of total software engineering/relevant experience, with at least 4+ of those years having industry experience applying - - Machine Learning to large scale problems in Recommendation, Advertising, or Search - Strong core CS fundamentals (data structures, algorithms, architecting systems). - A passion for quality and excellence, and the ability to temper it when necessary to ship. - Sets ego aside in pursuit of finding the best solution, no matter where it comes from. - B.S. or higher in Computer Science or Mathematics. PhD a big plus. - Fluent Mandarin and English language ability TECH STACK OVERVIEW: - Programming Language: Go (Golang)/Python. - Distributed middleware systems: - Kafka/Redis/RocksDB/MongoDB/S3. - ML: Pandas/Numpy/Scipy/Sklearn/Spark/Pytorch/Tensorflow. - Monitoring and Visualization: Grafana/Prometheus/Loki. - Additional Tools: Docker/Kubernetes/AWS/Git/ArgoCD.

外企银行 无加班文化 朝九晚五 双休 英语流利 工作经验：2-6年 DevOps + Python(Primary)/Java + Hadoop/Spark, excellent English communications, some knowledge of data science and machine learning is a plus but not mandatory

0x0000-Duty 1）Using the methods of machine learning and deep learning, studies, analyzes and counts the massive multi-modal historical data, and finds the relevant trends and laws. 2）Keep up with the frontier in the field of deep learning algorithms and promote the improvement of the company's existing algorithms. 3）Research on model interpretability. 4）Other work related to quantitative strategy research. 0x0001-Requirement 1）Master degree or above in computer, mathematics and other majors from famous universities at home and abroad, with 0 ~ 3 years of research or project experience related to machine learning or deep learning. 2）Exploration spirit and good hands-on ability, skilled Python or C + + R & D and application experience in Linux environment. 3）Have an in-depth understanding of one or more deep learning frameworks such as TensorFlow, PyTorch, Theano, etc.； 4）Solid foundation of mathematical statistics, ability to quickly read and understand cutting-edge papers in relevant fields at home and abroad . 5）Skillfully use the classical algorithm and network structure of machine learning and deep learning, design the network structure according to the characteristics of financial data, and realize robust and high-precision prediction in the test set. 0x0002-Bonus 1）Working experience in relevant positions in front-line Internet companies, or research experience in relevant artificial intelligence laboratories. 2）MCM, ACM-ICPC or others award. 3）Fund qualification certificate. 0x0000-职责 1）利用机器学习、深度学习的方法对海量多模态历史数据进行研究、分析和统计，从中找到相关的趋势和规律； 2）紧跟深度学习算法领域前沿，推动公司现有算法的改进； 3）模型可解释性研究； 4）其他与量化策略研究相关的工作。 0x0001-要求 1）国内外名校计算机、数学等数理专业硕士及以上学历，有0~3年机器学习/深度学习相关的研究或项目经验； 2）探索精神和良好的动手能力，熟练使用Python，或者Linux环境下的C++研发、应用经验 3）对TensorFlow，PyTorch，Theano等一个或多个深度学习框架有深入理解； 4）扎实的数理统计基础，快速阅读和理解国内外相关领域前沿论文的能力； 5）熟练运用机器学习和深度学习的经典算法和网络结构，可根据金融数据特性设计网络结构，并在测试集方面实现稳健的高精度预测； 0x0002-加分项 1）国内一线互联网公司或者相关人工智能实验室研究经验； 2）MCM、ACM-ICPC等奖项； 3）基金从业资格证

职责描述： 1、通过各种形式，挖掘客户需求,根据公司产品特性，进行产品展示与销售； 2、记录并分析客户需求，为客户提供公司产品、服务介绍； 3、对客户进行产品知识演示，解答客户关于产品知识的提问与咨询，并与其他部门配合，给客户提供符合需求的项目方案； 4、与客户建立良好互动关系，确保客户服务的持续性； 5、按计划完成销售的年度/季度目标； 6、及时更新相关客户信息及数据资料； 7、完成领导交代的其他工作。 任职要求： 1、大专及以上学历，年龄25岁以上，户籍、性别不限； 2、有强烈的意愿想做销售工作，具有相关销售经验； 3、性格开朗、乐于助人、热爱销售、乐于接受新事物，热爱学习，具有勤奋、永不言弃的精神； 4、具有培训行业（内训、公开课、e-learning、培训咨询）或者软件行业销售经验者优先考虑； 5、有企业客户资源、有超强客户开发能力者优先。

What you will be doing: With in-depth understanding of the backend logic of trading, develop the parameter rules such as tick size, position tier level, funding rate, discount rate, contract value of new/current listings. Continuously optimize the platform's trading fee strategy through data analysis and user research, to maintain an advantage over competitors. Establish a sound risk monitoring system, be able to timely detect and respond to risk events, and reduce platform risk by controlling trading parameters and other strategies during major market movements. Improve the back-end of risk control products, so that all risk control parameters can be adjusted timely, efficiently, and securely. What we look for in you: Solid experience in Product Management Bachelor's Degree/Masters in Computer Science/Engineering related Strong interest in Trading i.e Spot/Derivatives/Options Good logical thinking, communication, and learning abilities. Self-motivated with a great product ownership mindset Proficient in data analysis

About the Opportunity: We are seeking a highly skilled and experienced Senior Talent Development Leader to join our organization. You will be responsible for designing, implementing, and managing comprehensive TD framework and programs that aligns with the company's objectives. You will play a crucial role in managing full lifecycle of our most precious assests "our exisiting and potential talents". This is an exciting opportunity to build up a talent development capability from the ground up. The outcome of your programs will help the company scale globally, develop future talent, and result in an engaged and thriving workforce as we continue our mission of empowering business globally. To be successful in this role, you must understand industry trends and business priorities and translate them into the highest impact work. You will help business leaders look around corners with data-driven recommendations that improve performance, retention, and the overall employee experience. You will be building strategies, framework and implementing the followings: Talent Identification: Utilizing various assessments and performance metrics to identify high-potential employees. Succession Planning: Building succession planning strategy and framework. Preparing high-potential employees for future leadership roles. Career Pathing: Outlining potential career trajectories within the organization and providing the tools and opportunities for growth. Engagement and Retention: Strategies to keep high-performing talent engaged and committed to the organization, often through targeted development programs, mentorship, and rotational assignments. Onboarding: Programs designed to acclimatize new employees to the company’s tech stack, culture, and workflow processes. Professional Development: Courses and workshops on soft skills such as leadership, communication, and emotional intelligence. Continuous Learning: Ongoing training initiatives to keep employees up-to-date with the latest technologies and methodologies specific to their jobs. Stakeholder Management: Building trust with internal and external stakeholders, communicating effectively with employees at all levels, promoting the value of talent development initiatives and addressing any concerns or feedback. What We Look For In You: Strategic thinker Framework builder Bachelor's degree in Human Resources, Talent Development, Business Administration, or a related field. Proven experience in a senior-level role focused on talent development, preferably within a corporate setting. Demonstrated expertise in designing and delivering a variety of learning programs, including e-learning, classroom training, workshops, and blended learning solutions. Experience with learning management systems (LMS) and other learning technologies. Excellent project management skills, including the ability to prioritize, plan, and execute multiple initiatives simultaneously. Strong analytical and problem-solving abilities, with a data-driven approach to measuring training effectiveness. Exceptional communication and interpersonal skills, with the ability to build relationships, influence stakeholders, and present ideas effectively. Nice to Haves: Bilingual English/Mandarin Global work experience Certification in relevant areas such as instructional design, training facilitation, or coaching is desirable.

职位描述： 1、深度洞察全球短视频/内容行业趋势和竞争格局，并进行深入的数据分析； 2、深入了解业务、挖掘业务问题和痛点，通过数据分析为业务提供专业支持，并为管理团队提供决策建议； 3、带领团队支持公司关键业务的分析决策，提出有价值的落地策略并推动落实； 4、平衡团队内同学分工，并和其他业务团队形成高效联动机制。 【Why US】： 1、团队成员均来自头部互联网公司，经验丰富，喜欢学习分享，Learning curve陡陡的，团队氛围棒棒哒； 2、业务多元且有趣，覆盖海外多个区域和国家，可以全球视野衡量业务决策； 3、部门将行业分析与业务互动深度结合，数据驱动、业务落地不再是梦。 任职要求： 1、高学习能力和问题拆解能力，能够与业务深度结合，做出判断； 2、高自驱力和Leadership，追求卓越，充满正能量； 3、有分析或互联网数据分析等工作经验，或对短视频、出海相关领域有较强理解，6年或以上工作经验； 4、2年以上管理经验。

职位职责： 团队介绍：字节跳动搜索团队主要负责抖音、今日头条、西瓜视频等产品的搜索算法创新和架构研发工作。我们使用最前沿的机器学习技术进行端到端建模并不断创新突破，同时专注于分布式系统、机器学习系统的构建和性能优化，从内存、Disk等优化到索引压缩、召回、排序等算法的探索，充分给同学们提供成长自我的机会。 1、参与字节跳动搜索引擎研发工作，用最前沿的机器学习算法、海量的数据，做最激动人心的技术、给用户最好的搜索体验； 2、参与头条/抖音等产品的搜索研发工作，服务海量用户； 3、参与搜索算法改进，可能的方向包括： （1）NLP：将业界最先进的NLP技术应用到搜索算法改进中，包括纠错、分词、改写、Term Weighting、意图识别； （2）Ranking：解决千亿级网页的排序问题，攻克基础检索、相关性、意图理解、权威性、时效性等世界难题； （3）页面分析和摘要：从千亿网页中提取最有价值的信息，进行结构化字段提取、智能摘要生成、转码等工作来优化搜索体验； （4）链接分析：从万亿链接中找出最有价值的网页，优化链接质量、索引质量、垃圾作弊识别、调度策略等； （5）智能问答：探索最先进的阅读理解及语义抽取技术，研发开放域智能问答系统，直接在搜索结果第一位置满足用户 query 需求。 职位要求： 1、出色的分析问题、解决问题能力，总是能从纷繁复杂的数据中识别出问题本质； 2、出色的机器学习（Deep Learning）、NLP和数据挖掘基础，并能很好地建模应用于解决搜索问题； 3、强悍的代码能力、数据结构和基础算法功底； 4、熟悉Linux开发环境，熟练使用C++和Python语言； 5、有主流大规模搜索引擎算法优化经验者加分。

岗位职责： 1. 承担基于GPT系列或者其他开源大模型的开发和调优工作，包括训练流程搭建、指令微调、P’rompt工程以及面向下游任务的效果优化等； 2. 完成大规模预训练模型在到店业务场景中的应用落地，支持业务目标提升。 3. 紧跟业界大模型进展，探索前沿技术，解决到店业务的实际问题，包括智能问答、图文内容生成等； 4. 与其他团队密切合作，包括数据工程师、前后端工程师、产品经理等，实现高质量的产品和解决方案。 岗位基本要求： 1. 有大语言模型(LLM)预训练经验,熟悉相关技术细节和优化策略，如大规模语料收集、模型调优优化、自弱监督学习、强化学习等 2. 有小样本学习 (Few-shot learning)、提示学习(P‘rompt learning)等相关技术经验； 3. NLP相关领域3年以上经验，具有扎实的算法理论基础，熟练掌握自然语言主要算法模型，如实体识别、知识抽取等。熟悉NLP主流大模型，如ChatGPT/T5/PaLM/LLaMA/GLM等，对模型背后的原理和各自适用场景有深入的理解； 4. 有基于Tensorflow、PyTorch等深度学习框架的实战项目经验； 5. 具备较强的团队协作能力和沟通能力，有较强的学习能力和业务分析及问题解决能力。 具备以下优先： 1. 具有生成式模型训练及开发经验、信仰AIG者优先； 2. 有NLP、多模态研发背景，对QA/机器翻译/图文生成相关领域有深入理解的优先。 3. 对大规模预训练语言模型技术现状和发展趋势有深刻的理解和认知，并对相关技术有极高的热情。 4. 计算机相关专业博士优先， 发表过大模型相关研究AI顶会论文优先； 5. 具备有良好的代码开发能力，有开源项目开发经验优先。

工作职责: 1. 负责NLP LLM训练，Prompt微调，强化学习等算法研究与优化； 2. 负责LLM模型ICL（In Context Learning）能力的扩展，优化与提升； 3. 探索LLM大模型的CoT（Chain of Thought）思维链能力； 4. 负责Prompt/CoT核心数据的构建与相关技术的探索，完成模型实验和训练策略优化。 任职资格: 1. 3年以上工作经验； 2. 计算机或相关专业硕士及以上学历，具有扎实的数学、计算机科学功底和良好的编程基础； 3. 对数据结构和算法设计有深刻理解，掌握C/C++/Python/Scala等至少一门高级编程语言； 4. 对NLP主流大模型如GPT3/chatGPT/T5/PaLM/LLaMA/GLM等的原理和差异有深入的理解； 5. 熟练掌握主流深度学习框架pytorch/tensorflow，大模型训练框架Megatron-LM/Deepspeed等多机多卡方案，有百亿/千亿NLP大模型训练调优经验优先； 6. 熟悉自然语言处理领域的前沿研究，具有丰富的研究经验，具备百亿级以上LLM 训练经验优先； 7. 具有高度的创新精神和科学研究能力，能够不断推动领域的发展。

我们需要您： 1.从事大模型（LLM）研究、训练、应用，包括但不限于训练任务优化、知识融入更新、模型性能提升等 2.跟进业界前沿的相关SOTA模型技术，保持技术先进性，应用到产品工程中 我们需要您具备： 1. 计算机、数学或统计学相关专业硕士及以上学历，算法理论与工程技术扎实，具有3年以上计算机NLP/CV/ML相关工作经验 2. 熟练使用pytorch/tensorflow/deepspeed等至少一种框架，能独立实现前沿模型，有NLP/CV/ML顶会发表经验者（ACL/EMNLP/CVPR/ICCV/NeurIPS等）优先； 3. 在NLP/LLM/多模态有深入算法研究与研发实践，有FT、预训练、可控内容生成方向经验者优先 4.懂业务，有良好沟通、分析解决问题和团队协作的能力；自我学习能力，保持对事物的好奇心。 加分项 (满足其一即可)： 1. 熟悉主流开源大模型（GPT2/LLAMA/GLM等） 2. 有过大模型prompt learning、FT相关优化工作 3. 有过预训练大模型的相关工作 4. 有过DAU过百万产品的算法研发经验

岗位职责: 1. 负责带领团队进行前瞻自动驾驶视觉感知算法/雷达感知算法/多传感器融合算法/预测算法/标定算法的调研、设计、开发、部署、迭代与测试工作 2. 负责带领团队进行量产自动驾驶视觉感知/雷达感知/多传感器融合/目标筛选及预测/标定软件的需求分析、方案设计、软件实现、移植部署、测试和交付 3. 负责项目供应商管理、相关功能模块对接工作 4. 组织代码、设计、技术文档的评审，确保软件交付质量 5. 负责自动驾驶产品中算法方案的制定与实现 任职要求: 1.学历要求：**大学本科及以上学历，英语CET-4及以上 2.工作经验：具有6年及以上自动驾驶视觉感知/雷达感知/融合/预测/标定领域的深度学习或C++开发工作经验，特别优秀者可适当放宽 3.其他： ① 深度学习、机器学习、人工智能、计算机、机器人、软件工程、电子工程、通信工程、车辆工程、自动化、应用数学、测绘遥感等相关专业优先 ② 扎实的工程实践能力，深入掌握数据结构与算法，熟练掌握Linux/docker/shell/git等相关工程基础，熟练掌握Python或C++ ③ 满足以下条件之一： 1）精通使用至少一种深度学习框架（Pytorch/Tensorflow/MXNet/Caffe2），能独立完成CNN、RNN等常见网络结构搭建、训练、测评等，精通基于Transformer/时间序列预测相关模型开发经验 2）精通计算机视觉常用的图像处理、多视图几何算法 3）精通时空同步、目标跟踪、数据关联、信息融合、航迹管理、性能评估等多传感器融合基本技术 4）精通毫米波雷达/摄像头/激光雷达等传感器的工作原理，具有传感器噪声建模经验，具有车辆运动学模型建模经验 5）精通点云处理常用算法、原理和框架，精通处理点云的目标聚类、分割、检测等算法 6）精通毫米波雷达信号处理、数据滤波处理方法，有处理毫米波雷达特殊场景问题相关经验 7）精通超声波雷达泊车库位搜索、障碍物检测等相关技术 ④ 责任心强，有良好的沟通能力和团队合作能力，工作自主驱动，具备良好的问题定位与分析能力 ⑤ 优先条件： 1）有Tier 1或主机厂相关工作经验 2）熟悉线性与非线性最优化理论、数学建模、KF/EKF/UKF等滤波算法、DS证据理论、决策树/集成学习等机器学习算法 3）有嵌入式开发与部署经验，熟练使用Modern C++，有DSP开发经验优先 4）有车规级感知算法开发落地项目的优先 5）以下至少一种技术主题的研究经历：VAE, GAN, GLOW, RL, IRL, imitation learning, multi-agent learning 6）在**深度学习/机器学习学术会议发表过论文，如：CVPR, ICML, NeurIPS, ICCV, ICLR等

高级/资深推荐算法工程师 职位描述 将最前沿的推荐算法技术在多种场景落地，在大规模场景下开展以下工作： 1、参与广告推荐系统的深度优化，研究并解决大规模广告系统中的各类优化目标及问题，如深度转化目标建模、广告内容混合排序、多场景联动推荐、转化延迟、id泛化性、粗精排一致性等； 2、探索前沿技术在推荐模型预估上的应用，研究方向包含且不局限于：automl、多任务学习、learning to rank、序列建模、大算力下的大规模深度模型、large预训练模型等； 3、和工程架构团队密切配合，共同开发优化各类工程组件在各种复杂场景的落地：如大规模推荐引擎架构、大规模流式机器学习框架、大规模离线计算等。 职位要求 1、5年以上算法经验优先； 2、扎实的算法和数据结构基础，优秀的编码能力，优秀的分析和解决问题能力； 3、机器学习基础扎实，熟悉深度学习算法（CNN/RNN/LSTM/RL/Transformer/推荐广告的大规模Sparse&Dense模型等）； 4、熟悉至少一种主流深度学习编程框架（TensorFlow/PyTorch）； 5、熟悉C++和Python语言，熟悉Linux开发环境； 6、具备优秀的学习能力和良好的团队合作精神，较好的沟通能力以及抗压能力； 7、有推荐、广告、信息检索或相关领域的实战经验优先。

职位职责： 1、负责字节泛文娱长内容赛道相关业务的数据分析工作，对接国内、国际化多业务线内容分析与数据建设； 2、深入理解内容生态，通过数据挖掘建立优质内容和创作者评估标准，协助迭代平台内容策略； 3、定位内容和创作者冷启问题，优化冷启效率；基于容器实验等对内容价值进行评估，分析内容建设的高杠杆投入方向，并为内容引入提供建议； 4、用机器学习方法建立业务模型，并不断优化模型效果，提升业务指标，例如：内容收入预测、ROI预测模型等、优质创作者识别等； 5、与产品、运营、研发等配合，推动分析结果与模型结果落地，直接提升业务指标。 职位要求： 1、本科及以上学历，数学、统计学、计算机、软件相关专业优先； 2、精通 SQL，熟练使用 R/Python 进行数据分析、挖掘；了解常用的机器学习算法如LR/决策树/K means等； 3 、数据科学方向要求熟悉XGBoost、LightGBM等常见的工具，了解Ensemble learning和Keras尤佳； 4、有较强的自驱能力，追求个人和团队成长，为业务结果负责，积极推动解决问题； 5、有内容分析经验优先，了解小说、漫画、有声书等内容产品尤佳。

Responsibilities: Employ the full breadth of data science models, tools, and solutions to execute prioritized analytics use cases across the enterprise ●Collaborate with colleagues and external partner data scientists and analytics professionals to execute analytics use cases ●Present data science solutions to business and Zoetis Tech and Digital colleagues in a clear and understandable manner ● Follow data analytics quality and security standards for data science work ● Effectively document data science models, methods, and code Education and Education Master’s degree in Statistics, Predictive Analytics, Data Science, Computer Science, Econometrics, Mathematics, Operations Research or closely related field ● 0-2+ years of experience in a data science role within a company Knowledge, Skills, Abilities Strong understanding and skills in advanced analytics and data science models and methodology, such as statistical analysis, algorithm development, artificial intelligence, machine learning, text mining, natural language processing, and optimization Strong understanding of and experience using data science tools and technology, such as R, Python, SQL, SAS, and cloud-based technology