北美实习
湾区人工智能企业解决方案公司
北美正式实习推荐
积累与目标岗位相关的北美实习经历，把专业技能用在真实工作中，让简历和面试有具体成果可讲。
以下为此类服务的一般说明，本项目的具体要求与内容请结合下方介绍确认。
哪些需求可以考虑这类服务？
- 正在读本科或研究生，缺少与目标岗位相关的实习经历，希望在毕业求职前积累真实海外工作经历的学生。
- 准备转行或转岗位，已有一定技能基础，但缺少新方向的实际工作经历，希望通过实习补足背景的人。
- 已有课程或项目经历，但缺少北美及海外实习经验，希望进一步积累企业实践、为目标岗位求职做准备的人。
为什么考虑北美实习？
- 从目前的招聘形势和人才要求来看，如果没有一两段与目标岗位相关、有实际工作成果的北美本地实习，基本上很难拿到面试机会。
- 同时提升技能和求职背景：在真实业务任务、交付要求和团队反馈中运用所学，把“学过、会用”变成实际完成工作的经历。
- 积累作品与个人贡献：整理自己完成的任务、解决的问题和取得的成果，在遵守企业保密要求的前提下形成作品与面试案例，讲清楚你具体做了什么。
- 判断职业方向与兴趣：亲自参与岗位日常，了解工作内容、协作方式与能力要求，再判断这个方向是否适合长期投入。
如何判断是否适合自己？
如果你正在读本科或研究生，或准备转行，简历里最缺的是目标岗位的真实工作经历，可以重点考虑实习。如果目前还缺少岗位所需的基础技能，可以先通过实战项目做好准备，再衔接实习。
具体岗位、所需基础、时间安排、是否远程、选拔流程及报酬情况，需要具体咨询。可以带上简历和目标岗位，我们一起判断哪些实习更适合你。
本项目介绍
公司介绍
The company aims to democratize access to AI products and services for organizations across various industries and global end users. The founding members of the company include Stanford alumni, machine learning experts, and senior professionals from leading global enterprises.They specialize in developing cloud services for deploying statistical and artificial intelligence models.The team conducts experiments and research on machine learning models to generate actionable recommendations, analyze customer behavior, and derive insights aimed at fostering partner business growth.Their clients include corporations, open-source foundations, and end users.
Data Analytics Intern
工作职责： Drive critical solutions for company’s business needs by analyzing a variety of data sets. Conduct data analysis using SQL, Python, R, Tableau Automate data analytics workflows to streamline the process Extract insights from the data sets and document the next step plans across technological, digital marketing, and financial fields Contribute to the development of data analysis models Monitor, identify, and analyze changes in customer behaviors to find trends and market opportunities. Actively find areas to improve in data analysis techniques and processes.
支持CPT/OPT：是
地点： Remote/Onsite
Machine Learning Intern
工作职责： Apply cutting-edge machine learning and natural language processing methods to process large amounts of data. Transform data into formats compatible with core business applications like investment strategies and digital marketing. Extract, filter, process, and analyze both structured and unstructured data. Use deep learning and reinforcement learning techniques to derive insights from diverse datasets. Develop data collection workflows including API queries, web scraping, and natural language processing methods. Store and manage large-scale time series data using SQL, Spark, Hadoop, and NoSQL databases. Identify and implement improvements to reduce latency and enhance performance.
支持CPT/OPT：是
地点： Remote/Onsite
The company aims to democratize access to AI products and services for organizations across various industries and global end users. The founding members of the company include Stanford alumni, machine learning experts, and senior professionals from leading global enterprises.They specialize in developing cloud services for deploying statistical and artificial intelligence models.The team conducts experiments and research on machine learning models to generate actionable recommendations, analyze customer behavior, and derive insights aimed at fostering partner business growth.Their clients include corporations, open-source foundations, and end users.
Data Analytics Intern
工作职责： Drive critical solutions for company’s business needs by analyzing a variety of data sets. Conduct data analysis using SQL, Python, R, Tableau Automate data analytics workflows to streamline the process Extract insights from the data sets and document the next step plans across technological, digital marketing, and financial fields Contribute to the development of data analysis models Monitor, identify, and analyze changes in customer behaviors to find trends and market opportunities. Actively find areas to improve in data analysis techniques and processes.
支持CPT/OPT：是
地点： Remote/Onsite
Machine Learning Intern
工作职责： Apply cutting-edge machine learning and natural language processing methods to process large amounts of data. Transform data into formats compatible with core business applications like investment strategies and digital marketing. Extract, filter, process, and analyze both structured and unstructured data. Use deep learning and reinforcement learning techniques to derive insights from diverse datasets. Develop data collection workflows including API queries, web scraping, and natural language processing methods. Store and manage large-scale time series data using SQL, Spark, Hadoop, and NoSQL databases. Identify and implement improvements to reduce latency and enhance performance.
支持CPT/OPT：是
地点： Remote/Onsite
常见问题
实习与行业实战项目有什么区别？
实战项目侧重培训与项目实践，正式实习则应以实际企业、岗位安排和工作内容为依据。两者的参与形式和证明材料不同，应分别确认并如实描述。
网站列出企业，是否意味着可以直接入职？
不是。企业或项目介绍不代表岗位实时开放，也不表示报名即可录用；需进一步确认匹配要求、选拔流程和具体安排。
申请前需要向顾问确认哪些信息？
请确认具体岗位与任务、基础要求、时间投入、工作地点或远程安排、选拔流程、是否有报酬，以及可以提供哪些材料支持。
全托管求职营中的实习如何参加？
北美正式实习 placement 为可选项，不兑换也可以参加全托管求职营。选择实习时，从套餐总课时中兑换 12 课时；实习与行业实战项目的组合方式，以及兑换后的培训课时分配，需按所选套餐书面确认。
