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Machine Learning Intern, Generative AI – HR Applications (m/f/d) - Gigafactory Berlin-Brandenburg

Tesla

Machine Learning Intern, Generative AI – HR Applications (m/f/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

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On-site

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Internship

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Today

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


    • , Tesla

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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · Data Annotation Specialist

    373 reports

    $49,465

    total / year

    Base

    $49,465

    Stock

    -

    Bonus

    -

    $35,995

    $67,975

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts

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