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Machine learning intern, generative ai – hr applications (m/f/d) - gigafactory berlin-brandenburg

Grünheide (Mark)
Praktikum
Tesla
45.000 € pro Jahr
Inserat online seit: 12 März
Beschreibung

What To Expect

Duration: 6 months

Location: Giga Brandenburg

Employment Type: Full-time internship

Application: Please upload a portfolio of your projects with your CV.

We're looking for a Machine Learning Intern to build AI-powered tools that transform how HR works at Tesla. You'll work independently on high-impact projects, move fast, and see your code in production —used by thousands of employees across the company.


What You’ll Do

* Design, develop, and ship AI-powered software solving real HR problems with measurable impact
* Own your projects end-to-end: from understanding the problem from HR stakeholders, to writing the code, to deploying and maintaining the solution
* Extend existing systems with modern LLM capabilities to solve complex business problems
* Work with HR partners, data engineers, and recruiting teams to understand problems and build solutions
* Apply software engineering best practices including version control, CI/CD, and containerization


What You’ll Bring

* You've built and deployed something that other people actually used — in any stack. A live side project, a tool for your student org, freelance work, an open source contribution. Show us.
* Strong programming fundamentals and the ability to pick up new technologies quickly
* Genuine curiosity about AI — you experiment with new models and tools as they come out and can separate what's working from what's hype
* Good instincts for what's worth building. You think about impact, not just implementation.
* Self-starter with a strong bias for action — you take initiative and drive projects forward independently.
* Excellent English. German is a plus.
* Experience with web development stacks
* Experience with Node.js, TypeScript, and React is a big plus
* Familiarity with Docker, Kubernetes, and PostgreSQL is a plus
* Degree in Computer Science or a related field is a plus
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