Alvanon HK, Ltd. As the leading global apparel business and product development consultancy, we help our clients grow sales and improve profitability by aligning their internal teams and strategic suppliers, engaging consumers, and implementing world class innovations throughout their product development processes and supply chains. We sincerely invite analytical, energetic and self-motivated individuals to join Alvanon. We are looking for candidates for the following position: Machine Learning/Data Science Manager You will be working at our head office in Hong Kong, developing new products relating tobody fit and fashion technology using engineering and machine learning techniques. You will be leading the machine learning team, working closely with other stakeholders to create innovative solutions and products with the latest machine learning technologies. Responsibilities ● Lead and drive the team to deliver AI/ML solutions. ● Identify and communicate with key stakeholders and understand their requirements. ● Research and develop AI/ML solutions that have real impact on our business/products. ● Implement machine learning/deep learning models and bring them into production. ● Work with data scientists and software developers through the entire R&Dpipeline (problem analysis, idea generation, data collection, model prototyping, evaluation, implementation, deployment and maintenance). ● Maintain and improve in-house interface for application prototype, model visualization and evaluation. Requirements ● Doctor Degree in Computer Science/Information System/Statistics or any related quantitative disciplines ● A minimum of 5 years of working experience in the relevant field ● Understanding of common machine learning models/algorithms, such as SVM, logistic regression, Bayesian regression, Neural Networks, etc. ● Basic understanding of probability, statistics, optimization, data structure and algorithms ● Hands-on experience in machine learning/deep learning tools, such as PyTorch, TensorFlow, Keras ● Strong communication skills in English, Mandarin and Cantonese ● Research experience in AI/ML/CV/CG in companies or university research labs is a plus Personality ● Have effective communication skills ● Have sense of ownership of work and desire to deliver great products To apply, please

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

职位概述： 我们正在寻找一位经验丰富、充满激情的高级机器学习工程师/数据科学家加入我们的团队。您将负责设计、开发和部署尖端的机器学习模型和算法，以解决复杂的业务问题，特别是在电商和/或市场平台领域。您将与产品、工程和业务团队紧密合作，利用数据驱动的方法来提升用户体验、优化运营效率、驱动业务增长，并为公司创造显著价值。 主要职责： 1. 问题定义与方案设计：** 深入理解业务需求，将业务问题转化为可量化的机器学习问题，并设计创新的解决方案。 2. 模型研发与优化：** 设计、开发、训练和评估尖端的机器学习模型（如推荐系统、自然语言处理、计算机视觉、预测模型、用户行为分析等）。 3. 数据处理与特征工程：** 熟练处理大规模、多源异构数据，进行数据清洗、转换、特征提取与工程，为模型提供高质量输入。 4. 模型部署与监控：** 将训练好的模型成功部署到生产环境，并建立有效的监控、评估和迭代机制，确保模型效果持续稳定。 5. 业务洞察与价值驱动：** 分析模型结果，提炼有价值的业务洞察，与业务方沟通协作，推动数据驱动决策，量化模型对业务指标的提升。 6. 技术探索与分享：** 跟踪机器学习领域最新技术发展，探索前沿算法在业务中的应用潜力，并在团队内部分享知识和经验。 7. 跨团队协作：** 与数据工程师、软件工程师、产品经理和业务分析师等紧密合作，确保项目顺利推进和落地。 **任职要求： 1. 教育背景：** 计算机科学、统计学、数学、人工智能或相关领域的硕士或博士学位（或具备同等水平的3年以上行业经验）。 2. 工作经验：** 拥有3年以上机器学习或数据科学相关行业的实际工作经验。 3. 优先经验：** 具备电商（如推荐、搜索、风控、用户增长、供应链优化等）和/或市场平台（如广告投放、营销自动化、用户画像、效果评估等）领域的工作经验者优先。 4. 技术能力： 精通Python编程，熟悉常用的机器学习库（如Scikit-learn, TensorFlow, PyTorch, Keras等）。 熟悉至少一种深度学习框架，并有实际项目应用经验。 具备扎实的机器学习理论基础，包括但不限于监督学习、无监督学习、强化学习、自然语言处理、图神经网络等。 熟悉数据处理工具和数据库（如SQL, Pandas, Spark等），能够处理和分析大规模数据。 具备模型部署经验，了解MLOps的基本概念和实践（如使用Docker, Kubernetes, Airflow, MLflow等）。 5. 软技能： * 优秀的分析问题和解决问题的能力，逻辑思维清晰。 * 强大的数据敏感度和业务洞察力。 * 优秀的沟通能力和团队协作精神。 * 具备良好的文档编写能力和项目管理能力。 加分项： * 有大规模分布式机器学习系统设计和实践经验。 * 有成功的模型部署案例，并能量化其对业务带来的价值。 * 在**会议或期刊（如NeurIPS, ICML, ICLR, KDD, WWW等）发表过相关论文。 * 熟悉云平台（如AWS, Azure, GCP）上的机器学习服务。 * 熟悉A/B测试设计和分析。 我们提供： * 具有竞争力的薪酬福利包。 * 参与解决复杂、有挑战性问题的机会。 * 与**人才共事，在快速发展的环境中成长。 * 开放、创新、协作的工作氛围。

Position Details  Understand product objectives and machine learning techniques; improve model strategy.  Understand user behavior and apply ML algorithms to optimize production experience.  Understand the diversity of Rakuten's business requirements, data, and assets; build cross-scenario technology backbones.    Qualification   -Bachelor or higher degree in computer science or a related technical discipline.  3 years' experience in one or more of the following areas: machine learning, search, recommendation systems, data mining, or other related areas.  -Proficiency in programming languages such as Python, Go, C++, or Rust and a track record of working with deep learning frameworks (e.g., pytorch, deepspeed, megatron, etc.).  -Solid experience with data structures or algorithms.  -Strong communication and teamwork skills.  -Passion for technology and solving challenging problems.    Preferred qualification   -Strong understanding of cutting-edge LLM techniques (e.g., attention variants, multi modality, prompt engineering, alignment, agent etc.) and possess practical expertise in effectively implementing these systems.  -Have prior experience working with machine learning platforms and/or training and inference of LLMs. 

工作职责 1.主导开发规划控制算法软件，带领技术突破，输出高质量算法代码 2.负责红旗L2-L4无人驾驶规划控制系统设计，主导决策/规划/控制算法软件开发和更新维护 3.把握团队的研发方向，保持技术领先和先进性 4.负责规划控制软件开发体系的搭建和人才梯队的培养 工作要求 1.学历要求：**本科及以上学历，博士优先，英语CET-4及以上，机械电子、车辆工程、计算机软件、自动控制、机器人等相关专业 2.工作经验：具有五年及以上自动驾驶规划控制领域工作经验 3.其他： ①熟悉Linux操作系统，精通C++编程、数据结构、设计模式，具备优秀的软件架构设计能力；熟悉machine learning/deep learning方法原理及python等常用数据处理软件工具；熟悉自动驾驶开源平台者优先 ②精通车辆运动学、动力学模型， 具有良好的线性、非线性控制与优化理论基础和应用经验，精通MPC、LQR、PID等常用控制算法 ③精通RRT、A*、Lattice等常用规划算法，精通DP、QP等优化理论与求解算法；熟悉博弈算法 ④深刻理解L2至L4级别自动驾驶技术框架与概念，熟悉AEB、ACC、ADAS等L2级别辅助驾驶功能及L3级别各场景功能 ④具备良好的逻辑沟通能力和解决实际问题的能力

职位职责： 团队介绍：Data AML是字节跳动公司的机器学习中台，为抖音/今日头条/西瓜视频等业务提供推荐/广告/CV/语音/NLP的训练和推理系统。为公司内业务部门提供强大的机器学习算力，并在这些业务的问题上研究一些具有通用性和创新性的算法。同时，也通过火山引擎将一些机器学习/推荐系统的核心能力提供给外部企业客户。此外，AML还在AI for Science，科学计算等领域做一些前沿研究。 课题介绍：大规模推荐系统正在越来越多的应用到短视频、文本社区、图像等产品上，模态信息在推荐系统中的作用也越来越大。 字节实践中发现模态信息能够很好的作为泛化特征支持推荐等业务场景，端到端的超大规模多模态推荐系统的研究具有非常大的想象空间。 期望在算法和工程CoDesign基础上，对多模态Cotrain、7B/13B大规模参数模型、更长序列端到端等方向进一步进行探索。 工程上研究方向包括多模态样本的表征、基于 pytorch 框架的高性能多模态推理引擎、高性能多模态训练框架的构建、异构硬件在多模态推荐系统上的应用；算法上的研究方向包括设计合理的推荐广告和多模态Cotrain结构、Sparse MOE、Memory Network、混合精度等。 1、负责机器学习系统架构的设计开发，以及系统性能调优； 2、负责解决系统高并发、高可靠性、高可扩展性等技术难关； 3、覆盖机器学习系统多个子方向领域的工作，包括：资源调度、任务编排、模型训练、模型推理、模型管理、数据集管理、工作流编排、ML for System等； 4、负责机器学习系统前瞻技术的调研和引入，比如：最新硬件架构、异构计算系统、GPU优化技术的引入落地； 5、研究基于机器学习方法，实现对集群/服务资源使用情况的分析和优化。 职位要求： 1、2026届及之后毕业，博士在读，计算机、软件工程等相关专业优先； 2、熟练掌握Linux环境下的C/C++/Go/Python/Java等1至2种以上语言； 3、掌握分布式系统原理，参与过大规模分布式系统的设计、开发和维护； 4、有优秀的逻辑分析能力，能够对业务逻辑进行合理的抽象和拆分，良好的团队合作精神； 5、有强烈的工作责任心，较好的学习能力、沟通能力和自驱力； 6、有良好的工作文档习惯，及时按要求撰写更新工作流程及技术文档。 加分项： 1、熟悉Kubernetes架构，有丰富的云原生系统开发经验； 2、熟悉至少一种主流的机器学习框架（TensorFlow/PyTorch/MXNet）； 3、熟悉Django、Flask等相关技术，有其后端开发经验； 4、有以下某一方向领域的经验：AI Infrastructure，HW/SW Co-Design，High Performance Computing，ML Hardware Architecture(GPU，Accelerators，Networking)，Machine Learning Frameworks，ML for System，Distributed Storage； 5、有大规模云计算平台或私有云产品架构开发经验。

职位职责： 团队介绍：Data AML是字节跳动公司的机器学习中台，为抖音/今日头条/西瓜视频等业务提供推荐/广告/CV/语音/NLP的训练和推理系统。为公司内业务部门提供强大的机器学习算力，并在这些业务的问题上研究一些具有通用性和创新性的算法。同时，也通过火山引擎将一些机器学习/推荐系统的核心能力提供给外部企业客户。此外，AML还在AI for Science，科学计算等领域做一些前沿研究。 课题介绍：大规模推荐系统正在越来越多的应用到短视频、文本社区、图像等产品上，模态信息在推荐系统中的作用也越来越大。 字节实践中发现模态信息能够很好的作为泛化特征支持推荐等业务场景，端到端的超大规模多模态推荐系统的研究具有非常大的想象空间。 期望在算法和工程CoDesign基础上，对多模态Cotrain、7B/13B大规模参数模型、更长序列端到端等方向进一步进行探索。 工程上研究方向包括多模态样本的表征、基于 pytorch 框架的高性能多模态推理引擎、高性能多模态训练框架的构建、异构硬件在多模态推荐系统上的应用；算法上的研究方向包括设计合理的推荐广告和多模态Cotrain结构、Sparse MOE、Memory Network、混合精度等。 1、负责机器学习系统架构的设计开发，以及系统性能调优； 2、负责解决系统高并发、高可靠性、高可扩展性等技术难关； 3、覆盖机器学习系统多个子方向领域的工作，包括：资源调度、任务编排、模型训练、模型推理、模型管理、数据集管理、工作流编排、ML for System等； 4、负责机器学习系统前瞻技术的调研和引入，比如：最新硬件架构、异构计算系统、GPU优化技术的引入落地； 5、研究基于机器学习方法，实现对集群/服务资源使用情况的分析和优化。 职位要求： 1、2026届及之后毕业，博士在读，计算机、软件工程等相关专业优先； 2、熟练掌握Linux环境下的C/C++/Go/Python/Java等1至2种以上语言； 3、掌握分布式系统原理，参与过大规模分布式系统的设计、开发和维护； 4、有优秀的逻辑分析能力，能够对业务逻辑进行合理的抽象和拆分，良好的团队合作精神； 5、有强烈的工作责任心，较好的学习能力、沟通能力和自驱力； 6、有良好的工作文档习惯，及时按要求撰写更新工作流程及技术文档。 加分项： 1、熟悉Kubernetes架构，有丰富的云原生系统开发经验； 2、熟悉至少一种主流的机器学习框架（TensorFlow/PyTorch/MXNet）； 3、熟悉Django、Flask等相关技术，有其后端开发经验； 4、有以下某一方向领域的经验：AI Infrastructure，HW/SW Co-Design，High Performance Computing，ML Hardware Architecture(GPU，Accelerators，Networking)，Machine Learning Frameworks，ML for System，Distributed Storage； 5、有大规模云计算平台或私有云产品架构开发经验。

工作职责： 1. 设计，开发，测试，部署，维护和改进软件。 2. 管理和兼顾多个项目并行开发的优先级，高效交付高质量软件成果。 Job responsibilities: 1. Design, develop, test, deploy, maintain and improve software. 2. Manage and take into account the priority of parallel development of multiple projects, and efficiently deliver high-quality software results. 任职资格： 1. 计算机科学、计算机工程或相关技术领域的学士及以上学位，硕士及以上学 位更佳。 2.应届或者1-3年软件开发工作经验，具有以下一项或多项的经验：Web 应用程序 开发，移动应用程序开发，分布式系统开发，云开发技术，数据库，网络设 计，开发大型软件系统和/或安全加密软件，人工智能与机器学习，了解 Mysql、Redis、消息队列等基本组件。 3. 具有一种或多种通用编程语言的经验，包括但不限于 Java，C / C ++， JavaScript / Typescript，Python。愿意积极学习所需要的新编程语言。 4. 优先考虑在医疗、生命科学行业具有软件开发经验的人才。 Qualifications: 1. Bachelor's degree or above in computer science, computer engineering or related technical field, master's degree or education Bit better. 2. At least one year of software development experience, with one or more of the following experience: Web application Development, mobile application development, distributed system development, Cloud development technology, database, network design Gauge, development of large software systems and/or secure encryption software, artificial intelligence and machine learning, understanding Mysql, Redis, message queue and other basic components. 3. Experience in one or more general-purpose programming languages, including but not limited to Java, C/C ++, JavaScript/Typescript, Python. Be willing to actively learn new programming languages as needed. 4. Talents with software development experience in medical and life science industries are preferred.

岗位职责: 1、Design and develop scalable frameworks and pipelines for building machine learning models that support a broad range of business applications across domains. 2、Build models and systems that support knowledge acquisition, representation, and retrieval, including integration with enterprise knowledge bases and retrieval-augmented generation (RAG). 3、Apply cutting-edge techniques in large language models (LLMs) and LLM agents, with a strong understanding of transformer architectures, fine-tuning strategies, and evaluation methods. 4、Experiment with and apply advanced training methodologies, including reinforcement learning, supervised fine-tuning, and model distillation, to improve model performance on business applications 5、Stay at the forefront of research and tooling in AI/ML, evaluating new libraries, models, and approaches for real-world adoption. 任职要求： 1、Master’s degree or above in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with 3+ years of hands-on experience in developing and deploying ML models. 2、Strong foundation in machine learning algorithms and deep learning architectures, with the ability to design and adapt solutions across a variety of problem spaces. 3、Proficient in Python and well-versed in modern ML libraries including PyTorch, JAX, HuggingFace, and familiarity with agent-oriented tooling like Pydantic AI. 4、Experience working with knowledge systems, semantic search, and retrieval-based techniques. 5、Deep understanding of LLM development, including pretraining concepts, fine-tuning methods, inference optimizations, and LLM-based agents. 6、Demonstrated experience applying techniques such as reinforcement learning (e.g. RLHF), model distillation, and instruction tuning. 7、Curious, self-driven, and comfortable working across disciplines; strong problem-solving skills and effective communication in English.

Key Responsibilities: Model Development: Design, build, and maintain scaleable machine learning models and algorithms. Data Analysis: Analyze and pre-process data from various sources to prepare it for model training. Model Training & Evaluation: Train, validate, and tune machine learning models to achieve optimal performance. Deployment: Deploy models into production and integrate them with existing systems. Monitoring & Maintenance: Monitor model performance in production and update models as necessary to ensure they remain accurate and relevant. Collaboration: Work with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver solutions. Research: Stay current with the latest developments in machine learning and AI to continuously improve our technology stack. Required Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Experience: Demonstrated at least 3 years experience as a Machine Learning Engineer or in a similar role. Programming Skills: Expertise in programming languages such as Python, golang, or Java. Machine Learning Frameworks: Proficient with machine learning frameworks and libraries like TensorFlow, PyTorch, JAX, scikit-learn, or equivalent. Data Management: Strong understanding of data management and processing tools such as SQL, Hadoop, Spark, etc. Problem-Solving: Exceptional analytical and problem-solving abilities. Data Analysis Tools: Skilled in using data analysis and visualization tools like NumPy, Pandas, and Matplotlib. NLP Experience: Familiarity with natural language processing concepts and large language models, including transformers and attention mechanisms. Preferred Qualifications: Advanced Education: Ph.D. in a relevant field. Domain Knowledge: Experience in specific domains such as natural language processing (NLP), recommendation systems, computer vision, etc. Big Data: Experience with big data technologies and distributed computing. Cloud Services: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. DevOps: Knowledge of CI/CD pipelines and tools for automating the deployment of machine learning models.

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. At DataVisor, we are working hard to find excellent web front-end engineers who can constantly challenge ourselves and surpass ourselves. We hope that candidates have a solid development foundation and broad front-end or full-stack development experience. Mature experience in front-end framework, early start-up technology company experience is preferred, we look forward to furthering communication with you! Responsibility: 1. Develop DataVisor user analysis interface, including data visualization and database interface functionality, and complete the development efficiently tasks; 2. Constantly participate in the development of the Web front-end, back-end development, API interface, etc. of the DataVisor big data analysis platform; 3. Focus on business, business goals, and exert self-creativity and productivity to achieve business needs. Requirements 1. Minimum two years of web development experience, proficient in HTML, CSS, Javascript, Typescript and other related knowledge 2. Minimum two years of experience in front-end frameworks (such as Angular, React), etc., experience in data visualization is preferred 3. Familiar with web testing framework, Java Selenium, experienced in write E2E test cases/test suites and Unit Test for frontend code, and also to be able to extend existing applications and have certain experience in performance tuning 4. Experienced in Java/Spring programming, familiar with Web back-end development, and big data analysis experience is preferred. 5. NodeJS server-side development, database interface development experience, and SQL proficiency are preferred. 6. Proficiency in using git, Jenkins and other tools 7. Good English reading and writing skills, good at communication 8. B.S is required Benefits We offer a flexible schedule with competitive pay, equity participation and health benefits, along with catered lunch, company off-sites, and game nights, as well as the opportunity to work with a world class team.

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us! Requirements: 5+ years software development experience 5+ years experience in Java, Shell, Python development Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. Experience in the Spring Framework is a plus Experience with test-driven development is a plus

About Us: Senturian Solutions headquartered in Singapore is a global company and leading provider of Artificial Intelligence Video Analytics. We specialize in artificial intelligence through video; analyzing human behaviors and objects then apply deep learning technologies and machine logic to transform that data into meaningful information. Our technology not only empowers video recording systems with omnipresent live search capabilities using AI and Deep Learning technologies, enables investigators to rapidly pinpoint people, behaviors, and objects of interest, turning video systems into a super dynamic search engine; but it also operate as a power tool for collecting business intelligence data beneficial to any industry. About the Role: The Product Assistant’s primary goal is to support the Product Director in managing Senturian’s product management efforts. Responsibilities: ● Assist in product functional demand analysis, write functional demand analysis instructions, and product manuals; ● Assist in coordinating with colleagues, improve products, assist colleagues in software system project management, and maintain the system; ● Responsible for assisting in basic work such as document production, material organization, and data collection. ● Collaborate with the software development team on projects. ● Cooperate with sales staff to provide customers with corresponding product technical parameters, product performance, product operation and other aspects of training and support according to customer needs; ● Technical support: answer technical questions and solve on-site installation and debugging problems. ● Solve daily internal test environment problems, including product hardware and software installation and debugging, troubleshooting, daily maintenance suggestions, etc. Requirements: ● College degree or above, more than 1 year of work experience; ● Proficient in office automation software; ● Good basic computer knowledge such as operating system (Linunx, Windows including Server), server hardware and network knowledge; ● Good communication skills (english, Mandarin), resource integration ability, effective understanding, project management ability, presentation ability and cross-team communication and collaboration ability; ● Be passionate about work, innovative, and able to withstand greater work pressure. Be proactive and have good decision-making ability; ● Have excellent written and oral expression skills, and be proficient in office software and related software tools such as Xmind:

About the Role Epsilla is a leading RAGaaS platform for Generative AI, offering high-performance vector databases. As a Backend Engineer at Epsilla, you will build and enhance Epsilla’s product lines, improve workflow efficiency and scalability, integrate new AI developments into our platform, intergating Large Language Models(LLM) and manage our infrastructure. This dynamic role places you at the forefront of distributed systems infrastructure and Generative AI. About the Interview: 1. 15-minute behavioral interview, sharing your understanding of our platform(https://cloud.epsilla.com) 2. Take-home assessment 3. 45-minute technical discussion Responsibilities: - Writing well-designed, testable and efficient code - Collaborate with founders to conceptualize and implement sub-products and features from start to finish to deliver winning products. - Participate in the design of technical architecture, ensuring scalability and maintainability. - Troubleshooting and debugging to drive performance optimization. - Engage with customers and evaluating user feedback to understand core pain points and iterate on feature requests. - Contribute to customer support, particularly for the products you develop. - Stay current with the latest AI advancements by investigating alternatives to integrate new capabilities into our platform. Requirements: - Degree/Diploma in Computer Science, Engineering or related field. - Proficiency in C++, TypeScript, and Python/FastAPI. - Understanding of performance optimization best practices. - Strong attention to detail and deliver work that is of a high standard. - Strong communication skills and the ability to work in fast-paced environments. - Excellent problem-solving skills with a proven ability to overcome challenges. Nice to Have: - Experience in AI, Machine Learning, and building RAG workflows. - Experience with no/low-code platforms. - Experience in early-stage startup environments.