出海雷达

American Tech Fellowship

其他限定地区(需当地身份)
公司Palantir
薪资未公开
工作地点North America
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Scholarship
发布时间未知
数据来源Lever
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注意地域限制:该职位明确限定在 North America 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

改变世界的一家公司 Palantir 为数据驱动的决策和运营构建了全球领先的软件。通过向需要的人提供正确的数据,我们的平台使我们的合作伙伴能够开发救命药物,在战场上做出权力决定,找到失踪儿童等更多。2027年1月队伍的申请现在开放到2026年12月11日。该计划 在20世纪美国率先进行大规模生产。我们建立了民主军库并赢得战争。然后我们把这个强大的军库抛弃了。心脏地带工作道德产品的谷背后转向美国工人。是时候重新唤醒巨头。美国在过去世纪中占据主导地位的实用创新精神,今天仍存在于每一个美国工厂,车间和车库。一些人担心人工智能的扩散,但我们看到技术和工业复兴的机会。帕兰蒂尔正在推出美国科技奖学金,为美国人提供了部署最先进软件的能力。你将有机会探索并建立在帕兰蒂爾的人工智能平台 (AIP) 上,并在使用上获得专业认证。杰出表演者将有机会接受采访,在帕兰蒂尔或合作公司担任角色。你可以利用你新发现的技能来促进美国工业复兴。这次奖学金不仅仅是职业生涯。它是为了恢复努力和决心仍然可以改变你的生活在美国的承诺。这是对美国卓越的投资,也是我们相信美国最伟大的建筑师还要被发现的证据。given 正确的工具和机遇,美国工人仍然是我们的竞争优势。现在时间证明了这一点。在本次奖学金中,你将与我们的合作伙伴 Ontologize 参与一个全面的培训计划,以提高你在 Foundry 和 AIP 的技术技能。你将学习如何部署 Palantir 的先进软件来解决企业环境中的困难问题,并有机会直接与 Palantir 的工程师和领导人进行交流。这项奖学金持续12周,从2027年1月13日开始。你预计每周两天上午会参加虚拟会议。我们还将有一个可选的会议一周一次和整个程序期间办公时间。预计花费10到15小时。

查看英文原文

A World-Changing Company

Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, power decisions on the battlefield, locate missing children, and more.

Applications for the January 2027 cohort are open now through December 11, 2026.

The Program

In the 20th century, America pioneered mass production. We built the Arsenal of Democracy and won the war. Then we left this mighty Arsenal to rust. Silicon Valley, a product of Heartland work ethic, turned its back on the American worker.

It's time to reawaken the giant.

The same spirit of practical innovation that enabled America to dominate the previous century lives on in every American factory, workshop, and garage today. Some fear the proliferation of Artificial Intelligence, but we see the opportunity for a technological and industrial renaissance.

Palantir is launching the American Tech Fellowship to arm Americans with the skills to deploy cutting-edge software in the workforce. You will have an opportunity to explore and build on Palantir's Artificial Intelligence Platform (AIP) and earn a professional certification in its use. Exceptional performers will earn an opportunity to interview for a role at Palantir or partner companies, where you can use your newfound skills to contribute to the revival of American industry.

This fellowship is about more than careers. It's about restoring the promise that hard work and determination can still change your life in America. It's an investment in American excellence, and evidence of our belief that America's greatest builders are still to be discovered.

The American worker, given the right tools and opportunity, remains our competitive advantage. It's time to prove it.

The Role

In this fellowship, you'll participate in a comprehensive training program with our partner, Ontologize, to level up your technical skills on Foundry and AIP. You'll learn how to deploy Palantir's advanced software to solve tough problems in enterprise settings and have the opportunity to engage directly with Palantir engineers and leadership.

The fellowship runs for 12 weeks, beginning on January 13, 2027. You are expected to attend live virtual sessions on two weeknights each week. We will also have optional sessions once a week and office hours throughout the duration of the program. Expect to spend 10 to 15 hours per week on instruction and project work throughout the fellowship.

This program provides valuable training to participants and is unpaid.

The window for submitting American Tech Fellowship applications is now through December 11, 2026.

Please note that you will never be asked to submit a payment or share financial information to participate in our interview process. If you suspect that you've been contacted by a scammer, we recommend you cease all communication with the individual and consider reporting them to the relevant authorities, such as the US FBI Internet Crime Complaint Center (IC3).

If you would like to understand more about how your personal data will be processed by Palantir, please see our Privacy Policy.

What We’re Looking For
We want builders: people who are hungry to learn whatever it takes to succeed and aren't afraid to roll up their sleeves and make it happen.

You might be that kind of person if you've taught yourself, or been the local go-to, in one or more of these areas:

  • Software, data, or automation
  • General-purpose programming languages such as Python, C/C++, C# / .NET, Rust, Go, Java, TypeScript/JavaScript
  • Data science applications such as SQL, MATLAB, Simulink, R, Julia, Excel + VBA
  • Process improvements like instrumenting, automating, or optimizing how things run
  • Prototyping—i.e., testing ideas iteratively instead of waiting for perfect specs

What We Value
Show us where you've flexed that builder's mindset. That could look like:

  • Formal study in computer science, electrical/mechanical/control systems engineering, physics, applied math, data science, mechatronics, robotics, or a related field
  • Experience solving real problems in settings such as a factory floor, a warehouse or logistics hub, a hospital or clinic, a construction site, field service, energy or utility operations, the military, a small business, or a garage shop, especially if you automated, instrumented, or optimized a process
  • Startup, maker-space, or hackathon projects that blended hardware and software, such as retrofitting equipment, building a sensor network, or deploying an edge AI model
  • Publications, patents, or open-source contributions in software, data, automation, or related technical fields

If you've got the fire to learn and you've built something that moved the needle, you're the kind of American worker we designed this fellowship for.

Backgrounds in skilled trades, manufacturing, and field work, as well as in clinical or business settings, are welcome.

What We Require

  • 2+ years of hands-on work experience in a technical setting or engaging in on-the-job technical processes
  • Backgrounds in computer science, data science, physics, and engineering domains are preferred, though no formal degree is required.
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