Position Overview We are seeking an experienced Infrastructure Engineer to architect and manage our AI computing infrastructure. The ideal candidate will have extensive experience in building and scaling ML infrastructure, with particular emphasis on distributed training systems and GPU cluster management. Key Responsibilities Design and implement high-performance computing infrastructure for large-scale AI model training Manage and optimize GPU clusters for distributed training workloads Build and maintain container orchestration systems for ML workflows Implement efficient resource allocation and scheduling systems Design and maintain monitoring and alerting systems for compute infrastructure Optimize infrastructure costs while maintaining performance Collaborate with ML teams to support their computing needs Ensure system reliability, security, and scalability Required Qualifications Master's degree in Computer Science, Systems Engineering, or related field 8+ years of experience in infrastructure engineering, with focus on ML/AI infrastructure Strong experience with: GPU cluster management and optimization Kubernetes and container orchestration Linux system administration Infrastructure as Code (IaC) Proven track record in building large-scale computing systems Experience with major cloud providers (AWS/GCP/Azure or Alibaba Cloud/Tencent Cloud etc) Preferred Qualifications Experience with ML infrastructure at major tech companies Knowledge of distributed training systems (PyTorch DDP, Horovod) Familiarity with ML frameworks and their infrastructure requirements Experience with high-performance networking (InfiniBand, RDMA) Background in performance optimization and troubleshooting Understanding of ML workload characteristics Bilingual proficiency (English/Chinese) Technical Skills Computing Infrastructure GPU Clusters: NVIDIA DGX, GPU management tools Distributed Systems: Slurm, Kubernetes ML Platforms: Kubeflow, Ray Job Scheduling: YARN, Slurm Cloud & Networking Cloud Platforms: International: AWS, GCP, Azure China: Alibaba Cloud, Tencent Cloud Networking: InfiniBand, RDMA, TCP/IP optimization Load Balancing: HAProxy, NGINX Infrastructure Management Container Technologies: Docker, Kubernetes, Singularity IaC: Terraform, Ansible, CloudFormation CI/CD: Jenkins, GitLab CI Monitoring: Prometheus, Grafana, ELK Stack Development Languages: Python, Go, Shell scripting Version Control: Git Documentation: Markdown, Confluence What We Offer Opportunity to build cutting-edge AI infrastructure Competitive salary and equity package Access to latest hardware and technologies Professional development opportunities Comprehensive health benefits Learning and conference budget Location ?Hong Kong (on-site, Hong Kong Science and Technology Park) Expected Impact Design and implement next-generation AI computing infrastructure Optimize resource utilization and cost efficiency Improve training speed and efficiency for AI models Build scalable and reliable systems Projects You'll Work On Building automated GPU cluster management systems Implementing efficient resource scheduling for ML workloads Optimizing distributed training infrastructure Setting up monitoring and observability systems Designing disaster recovery and backup solutions
張先生
崗位職責(zé):
1、負(fù)責(zé)內(nèi)容及素材平臺(tái)的日常運(yùn)營(yíng)，包括內(nèi)容素材、活動(dòng)策劃及創(chuàng)意文案撰寫、圖文設(shè)計(jì)、短視頻制作等，完成漲粉目標(biāo)，增加用戶黏性，提升平臺(tái)影響力；
2、收集、分析目標(biāo)用戶的消費(fèi)習(xí)慣及需求，關(guān)注熱點(diǎn)，快速對(duì)熱點(diǎn)信息進(jìn)行轉(zhuǎn)化，生成不同形式的內(nèi)容素材，從而提升銷售轉(zhuǎn)化及口碑傳播。
任職要求:
1、大專及以上學(xué)歷，廣告學(xué)、市場(chǎng)營(yíng)銷等相關(guān)專業(yè)優(yōu)先；
2、1年以上內(nèi)容運(yùn)營(yíng)經(jīng)驗(yàn)，有小程序、快消行業(yè)新媒體運(yùn)營(yíng)經(jīng)驗(yàn)者優(yōu)先；
3、具有優(yōu)秀的策劃功底，對(duì)用戶需求敏感，熟悉新媒體語(yǔ)言；
4、應(yīng)聘請(qǐng)準(zhǔn)備個(gè)人作品集。
南油Fesco
崗位職責(zé)：
1、負(fù)責(zé)視頻會(huì)議系統(tǒng)日常設(shè)備維護(hù)及故障處理
2、負(fù)責(zé)視頻會(huì)議設(shè)備連接調(diào)試、控會(huì)及應(yīng)急處理
3、配合單位定位處理相關(guān)視頻會(huì)議故障及測(cè)試
4、根據(jù)需求搭建臨時(shí)視頻會(huì)議
5、單位安排的其他工作
任職要求：
1、本科以上學(xué)歷，具有學(xué)士學(xué)位證書，有兩年以上相關(guān)工作經(jīng)驗(yàn)
2、熟練操作視頻會(huì)議系統(tǒng)及相關(guān)設(shè)備維護(hù)
3、熟悉視頻會(huì)議原理及相關(guān)協(xié)議（H.323、SIP）
4、熟練操作調(diào)音臺(tái)、視頻矩陣、攝像機(jī)等音視頻設(shè)備
5、具備TCP/IP網(wǎng)絡(luò)基礎(chǔ)，可初步定位排查網(wǎng)絡(luò)故障
6、具備獨(dú)立分析及故障處理能力
7、具備良好的溝通協(xié)調(diào)及自學(xué)能力
深圳高新區(qū)信息網(wǎng)
Position Overview We are seeking an experienced AI Research Scientist to lead foundation model development initiatives. The ideal candidate will have hands-on experience in training large-scale models at major tech companies and a proven track record in advancing the state-of-the-art in foundation models. Key Responsibilities Lead the architecture design and training of large-scale foundation models Develop and optimize model training pipelines for distributed systems Drive research initiatives in model scaling, efficiency, and performance Implement innovative approaches to improve model capabilities and training efficiency Collaborate with the engineering team to productionize research breakthroughs Guide technical decisions related to model architecture and training strategies Required Qualifications Ph.D. in Computer Science, Machine Learning, or related field 3+ years of experience in training large-scale models at major tech companies, including: International tech leaders (e.g., Google, Meta, Microsoft, OpenAI, Anthropic) OR Leading Chinese tech companies (e.g., ByteDance, Alibaba, Baidu, Tencent, SenseTime, Huawei) Proven experience with distributed training systems and large-scale model optimization Deep understanding of transformer architectures and their variants Strong track record in developing and training foundation models Extensive experience with PyTorch and/or JAX Publication record in top-tier conferences (NeurIPS, ICML, ICLR) Preferred Qualifications Experience with both Chinese and international AI ecosystems Familiarity with Chinese AI infrastructure (e.g., ModelArts, PAI, ByteMLab) Background in scaling laws and efficient training strategies Experience with video generation models or multimodal architectures Track record of open-source contributions to major ML frameworks Experience with ML infrastructure design and implementation Familiarity with mixed-precision training and model parallelism Experience with custom CUDA kernels and optimization Technical Expertise Large-Scale Training: Distributed training frameworks, model parallelism strategies Infrastructure: International cloud platforms (AWS/GCP) Chinese cloud platforms (Alibaba Cloud, Tencent Cloud, Huawei Cloud) Languages: Python, CUDA, C++ (optional) Frameworks: Standard: PyTorch, JAX, DeepSpeed, Megatron-LM Chinese ecosystem: PaddlePaddle, MindSpore (plus) Development Tools: Git, Docker, Kubernetes Monitoring: Weights & Biases, MLflow, or similar tools What We Offer Opportunity to shape the future of foundation models in video generation Leadership role in technical decision-making Access to substantial computing resources and infrastructure Competitive compensation package including equity Regular collaboration with top researchers in the field Support for conference attendance and research publication International exposure and collaboration opportunities Location Hong Kong (on-site, Hong Kong Science and Technology Park) Expected Impact Drive the development of next-generation foundation models Lead research initiatives that push the boundaries of model capabilities Build and mentor a world-class research team
張先生
職責(zé)描述: 1.負(fù)責(zé)公司及店鋪筆記本，手機(jī)、網(wǎng)絡(luò)等相關(guān)問(wèn)題的故障排除 2.及時(shí)有效解決用戶提交的問(wèn)題，包括但不限于APP、硬件等 3.作為二線支持，跟進(jìn)一線Service Desk升級(jí)的問(wèn)題，并將已知問(wèn)題整理文檔分享給一線同事 4.負(fù)責(zé)會(huì)議室音視頻設(shè)備的巡檢以及會(huì)議支持 5.負(fù)責(zé)VIP用戶IT服務(wù)支持 6.辦公室及門店IT設(shè)備的庫(kù)存管理 任職要求： 1.三年以上IT技術(shù)支持工作經(jīng)驗(yàn) 2.掌握Office365的操作和管理以及故障排除 3.了解MDM 移動(dòng)設(shè)備管理系統(tǒng)的相應(yīng)操作 4.精通windows系統(tǒng)安裝，網(wǎng)絡(luò)裝機(jī)，操作，配置，故障處理 5.精通AD/Exchange產(chǎn)品的支持及管理維護(hù)，熟悉windows操作系統(tǒng) 6.精通主流網(wǎng)絡(luò)產(chǎn)品的配置以及管理，以及故障處理 7.高度的責(zé)任心，獨(dú)立工作的能力并具備較強(qiáng)的分析，判斷和解決問(wèn)題的能力 8.良好的英語(yǔ)讀寫能力及粵語(yǔ)，較強(qiáng)的溝通和邏輯思維能力 9.有門店IT服務(wù)經(jīng)驗(yàn)優(yōu)先 10.了解服務(wù)管理體系結(jié)構(gòu)，有ITIL認(rèn)證優(yōu)先
王瑾煜
Position Overview We are seeking a skilled Data Engineer to design, build, and optimize our data pipelines and infrastructure. The ideal candidate will have strong experience in handling large-scale video datasets and building efficient data processing systems for machine learning applications. Key Responsibilities ?Design and implement scalable data pipelines for processing, storing, and managing large-scale video datasets ?Build and maintain data infrastructure for training data preparation and feature engineering ?Develop efficient ETL processes for various data sources including videos, images, and metadata ?Create and optimize data storage solutions for high-performance data access ?Implement data quality monitoring and validation systems ?Collaborate with ML researchers to support model training and evaluation needs ?Ensure data security and compliance across all data operations Required Qualifications ?Master's degree in Computer Science, Software Engineering, or related field ?8+ years of experience in data engineering roles at tech companies ?Strong programming skills in Python, Java, SQL and Shell ?Experience with big data technologies (Spark, Hadoop ecosystem) ?Proven track record in building and maintaining data pipelines ?Experience with cloud platforms (AWS/GCP/Azure or Alibaba Cloud/Tencent Cloud) ?Strong understanding of data modeling and database design Preferred Qualifications ?Experience with video processing and storage systems ?Knowledge of ML/AI data pipeline requirements ?Familiarity with distributed computing systems and high-performance computing ?Experience with streaming data processing ?Understanding of data privacy and security best practices ?Experience with Cloud services and data infrastructure ?Bilingual proficiency (English/Chinese) Technical Skills Data Processing & Storage ?Databases: PostgreSQL, MongoDB, Redis ?Big Data: Spark, Hadoop, Hive ?Data Warehousing: Snowflake, Amazon Redshift ?Stream Processing: Kafka, Apache Flink Cloud & Infrastructure ?Cloud Platforms: AWS/GCP/Azure, Alibaba Cloud/Tencent Cloud ?Container Orchestration: Docker, Kubernetes ?Infrastructure as Code: Terraform, Ansible Programming & Tools ?Languages: Python, SQL, Shell scripting ?ETL Tools: Airflow, Luigi ?Version Control: Git ?Monitoring: Prometheus, Grafana Video Processing ?FFmpeg, OpenCV ?Video compression and optimization techniques ?Video metadata extraction and management What We Offer ?Opportunity to build critical infrastructure for cutting-edge AI technology ?Competitive salary and equity package ?Flexible work arrangements ?Professional development opportunities ?Modern tech stack and tools ?Collaborative and innovative work environment ?Health and wellness benefits Location ?Hong Kong (on-site, Hong Kong Science and Technology Park) Expected Impact ?Shape the foundation of our data infrastructure ?Influence architectural decisions ?Build and mentor a world-class technology team
張先生
Position Overview We are seeking an experienced AI Product Manager to drive our foundation model-based product initiatives. The ideal candidate will bridge technical innovation with market opportunities, bringing senior-level product experience from top-tier technology companies and a deep understanding of both North American and Asian markets. Key Responsibilities Product Strategy & Vision ?Define product vision and strategy for AI-powered video generation products ?Conduct comprehensive market research across global markets, with focus on North America and Asia ?Analyze market trends, user needs, and competitive landscape to inform product decisions ?Develop product roadmap aligned with company's foundation model capabilities Product Development & Execution ?Lead the end-to-end product development process from conceptualization to launch ?Collaborate with research, engineering, design, and testing teams to deliver high-quality products ?Create detailed product requirements and specifications that balance technical feasibility with market needs ?Manage product backlog and prioritize features based on business impact and technical constraints Market & User Focus ?Drive user research initiatives across different markets to understand regional needs ?Develop go-to-market strategies tailored for different regions ?Work with operations team to optimize user acquisition, retention, and monetization ?Analyze product metrics and user feedback to drive continuous improvement Partnership & Ecosystem ?Identify and establish strategic partnerships with content creators and channel providers ?Build and nurture product ecosystem through partnership programs ?Drive content strategy and community engagement initiatives ?Develop channel strategies for different markets Required Qualifications Education & Experience ?Bachelor's degree required, Maste's degree preferred in relevant fields (Business, Computer Science, or related) ?5+ years of product management experience ?Proven track record at top-tier technology companies (e.g., Meta, Google, Tencent, Alibaba) ?Direct experience in North American and/or Asian markets Technical Knowledge ?Understanding of AI/ML fundamentals and their business applications ?Familiarity with video technology and digital content creation ?Experience with AI-driven products and services ?Data-driven decision-making capability Market Understanding ?Deep knowledge of global video content market ?Understanding of creator economy and content platforms ?Experience with B2B and/or B2C products in multiple markets ?Ability to identify and analyze market opportunities Skills & Competencies ?Excellent cross-cultural communication abilities ?Fluent in English and Chinese (Mandarin) ?Strong analytical and problem-solving skills ?Proven project management capabilities ?Experience with data analysis tools and methodologies Preferred Qualifications ?Degrees from top-tier institution ?Experience with foundation model-based products development ?Startup or entrepreneurial experience ?Published articles or speaking engagements on AI/ML products ?Experience with developer platforms or APIs What We Offer ?Opportunity to shape the future of AI-driven video creation ?Leadership role in product strategy and execution ?Competitive compensation package including equity ?International work environment and exposure ?Professional development opportunities ?Comprehensive health and wellness benefits Location ?Hong Kong (on-site, Hong Kong Science and Technology Park) Expected Impact ?Drive product strategy and execution for next-generation AI video products ?Build and lead a world-class product team ?Shape the company's market position and growth ?Influence the direction of AI-driven content creation
張先生
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