美国纽约实习-软件开发实习生 & 数据工程实习生

发布时间:2025年04月15日18:02时

公司介绍

一家提供企业 SaaS 解决方案的人力资源软件公司,在人才招聘和评估领域优势显著。其核心业务是借助数字视频面试和筛选技术,为企业简化招聘流程。平台融合单向视频、ATS工具和人工智能分析,实现职位发布、简历筛选、视频面试、AI面试分析等功能,帮助企业高效筛选人才,提升候选人体验。在市场方面,当下人才招聘存在流程冗长、成本高昂、效率低下、流程复杂等问题,而视频直试和虚拟面试应用广泛,87%的公司期望简化招聘活动,公司顺势推出的自动化平台正好满足了这一市场需求。在 Glassdoor 上整体评分4.7星,员工推荐率和 CE0 支持率均为 100%。员工反馈工作环境良好,团队协作氛围浓厚,工作与生活平衡度高,并且公司提供全面培训、个性化职业规划和导师指导,助力员工职业发展。


实习形式

线上/线下(纽约)

实习时长

8周/12周


软件开发实习生 Software Development intern

岗位职责

● Build websites from scratch including microsites, applications, forms, and hybrid mobile apps.

● Collaborate with marketing team, research and investigate web solutions and technologies such as Web Frameworks.APls.integrations.etc

● Maintain, update, and troubleshoot website(s), including website loading speed, etc.

● Assist in managing vendors and freelancers.

● Will work with Business Owners to understand business purpose and business process flows.

● Execute test cases manually and analyze results.

● Create, maintain and update logs to document testing phases and defects accurately.

岗位要求

● Undergraduate degree in computer science or related field.

● Experience building complex interactive websites from scratch.

● Experience with HTML5, CSS, JavaScript, SQL (preferred PostgreSQL), React, Django and other relevant web technologies.

● Experience with third party APls.

● Knowledge of SEO and how it affects web development.




数据工程实习生 Data Engineer Intern

岗位职责

● You will gain invaluable experience by being involved in the design, construction, and maintenance of scalable data management systems, This role offers the opportunity to work with cutting-edge technologies such as Apache Hadoop and Spark, and to build high-performance data processing solutions that meet business and industry standards.

● Data System Design and Maintenance: Design, construct, install, test. and maintain highly scalable data management systems using tools like Apache Hadoop or Spark.

● System Integration: Ensure systems meet business requirements and industry practices by integrating new data management and software engineering tools.

● Algorithm Development: Build high-performance algorithms, prototypes, predictive models,and more, utilizing programming languages such as Python or Java.

● Data Modeling and Mining:Develop processes for data modeling, mining, and production:utilize SQL for efficient ETL processes.

● System Troubleshooting and Enhancement: Troubleshoot and improve existing data systems in collaboration with architects to enhance data reliability and quality.

岗位要求

● Currently pursuing a bachelor's or master's degree in computer science, Data Science Information Technology, or a related field.

● Technical Skills: Experience with data structures, algorithms, and software design. Familiarity with Apache Hadoop,Spark, Python, Java, and SQL.

● Problem Solving: Strong analytical and problem-solving skills with a keen attention to detail.

Communication: Excellent communication skills with the ability to articulate complex technical issues to a diverse audience.



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