Performance Enablement AI/ML Intern
莱德斯正在寻找大学实习生,以支持 AI 启动和绩效管理计划 (SMIT).SMIT 支持海军-海军陆战队内网 (NMCI) 和相关 IT 服务。与经验丰富的团队成员一起工作,实习生将探索数据,自动化和 AI 如何帮助团队了解服务性能并改善日常运营。这是一个带有指导,辅导和适当范围的项目的实践学习机会。主要责任 ·协助小型人工智能和自动化项目,包括概括 IT 服务门票,绩效措施或操作趋势的原型。· 帮助编制,组织和审查用于仪表板,报告和人工智能实验的数据集。· 用提示和简单的人工智能代理工作流程进行实验,记录结果并建议通过团队指导改进。· 使用熟悉工具如 Python 或 JavaScript 写或更新基本脚本,查询或轻量化接口。· 支持测试和故障解决,识别问题,记录观察和帮助验证输出。· 参加团队会议和敏捷活动;分享进展,问问题以及为其他团队成员提供文件工作。· 现在注册在一个认可的大学或大学,学习计算机科学,数据科学,信息技术,工程或相关领域。· 美国公民身份要求。·课程工作,学术项目或涉及编程,数据分析或 AI/ML 概念的人生项目。· 用 Python,JavaScript 或其他编程语言进行介绍经验。· 对生成人工智能,自动化和 IT 服务管理的学习兴趣。· 可以明确沟通,与团队合作并学习新的工具。· 根据职位而适用的获得和保持秘密许可的能力。优先资格 · 熟悉 API,SQL,数据可视化或通过课程或项目进行基本的网络开发。· 对大型语言模型,快速工程或人工智能辅助开发工具接触。·对 IT 运营,服务管理平台或敏捷软件开发感兴趣。· 在学生团队,实习,研究项目或开源项目的合作经验。如果你想寻找舒适性,请继续滚动。在莱德斯,我们超越现状,构建和超越现象。
查看英文原文
Leidos is seeking a college intern to support AI enablement and performance management initiatives on the Service Management, Integration, and Transport (SMIT) program. SMIT supports the Navy-Marine Corps Intranet (NMCI) and related IT services. Working alongside experienced team members, the intern will explore how data, automation, and AI can help teams understand service performance and improve day-to-day operations. This is a hands-on learning opportunity with guidance, mentorship, and appropriately scoped projects.
Primary Responsibilities
- Assist with small AI and automation projects, including prototypes that summarize IT service tickets, performance measures, or operational trends.
- Help prepare, organize, and review datasets used for dashboards, reporting, and AI experiments.
- Experiment with prompts and simple AI-agent workflows, document results, and suggest improvements with team guidance.
- Write or update basic scripts, queries, or lightweight interfaces using familiar tools such as Python or JavaScript.
- Support testing and troubleshooting by identifying issues, recording observations, and helping validate outputs.
- Participate in team meetings and Agile activities; share progress, ask questions, and document work for other team members.
Basic Qualifications
- Currently enrolled in an accredited college or university pursuing a degree in Computer Science, Data Science, Information Technology, Engineering, or a related field.
- US citizenship required.
- Coursework, academic projects, or personal projects involving programming, data analysis, or AI/ML concepts.
- Introductory experience with Python, JavaScript, or another programming language.
- Interest in learning about generative AI, automation, and IT service management.
- Ability to communicate clearly, collaborate with a team, and learn new tools with guidance.
- Ability to obtain and maintain a Secret clearance, as applicable to the position.
Preferred Qualifications
- Familiarity with APIs, SQL, data visualization, or basic web development through coursework or projects.
- Exposure to large language models, prompt engineering, or AI-assisted development tools.
- Interest in IT operations, service management platforms, or Agile software development.
- Experience collaborating on a student team, internship, research project, or open-source project.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
October 15, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $48,100.00 - $86,950.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Originally posted on Himalayas