Skip to content
workingstudentjobs.de
valuemize logo

AI Software Engineer / Data Science- Intern/WS (f/m/d)

valuemize4 days agoWorking Student
HybridEnglish requiredTechAI, ML & Data Science

Required skills

LLMPythonNode.jsDockerPrismaNext.jsTypeScriptSQLPostgresKubernetes

Job description

valuemize posted this role. Below, we break down what it means for a working student in Munich: your weekly hours, take-home pay and visa limits.

Jobscan

Will your CV clear this job's ATS filter? Scan it against this job with Jobscan

Description provided by valuemize

👋 Join valuemize

valuemize is redefining how Europe’s manufacturing industry designs, builds, and prices physical products.

We’re creating a new software category between ERP and PLM - Lifecycle Cost Intelligence - to help industrial companies make smarter, faster, and more profitable product decisions.

Every year, manufacturers lose billions because 80% of product costs are decided before production starts — and teams still rely on disconnected spreadsheets.

We’re building the system that fixes that.

Our platform connects engineering, cost, and sourcing data in one collaborative space, enabling hardware teams to simulate and optimize product costs in real time.

🧠 About the Role

As an AI Software Engineer / Data Scientist Intern or Working Student at valuemize, you'll work at the heart of our product, building and experimenting with AI and data components that make cost and product data actionable for engineers and business users alike.

You’ll collaborate closely with our Co-Founder & CTO Dominik, who brings 13+ years of engineering leadership experience, from leading teams at SAP to building large-scale payment systems.

This is a high-impact role for someone who wants to shape a category-defining AI/SaaS product from its earliest stages.

⚙️ Our Tech Stack

  • Frontend: React / Next.js (Full-Stack App)
  • Backend: Node.js / TypeScript / SQL / Postgres / Prisma ORM
  • Infrastructure: Kubernetes, Docker, CI/CD
  • AI/ML: Python, data pipelines, LLM integrations

What You’ll Do

  • Build and experiment with AI/ML components for cost prediction, anomaly detection and data analysis
  • Develop and maintain data pipelines connecting ERP, PLM and external data sources
  • Collaborate with product, engineering, and customer teams to translate manufacturing challenges into intelligent software features
  • Take ownership of projects and contribute to engineering best practices

🎯 Who You Are

  • Currently studying Computer Science, Data Science, AI or a related field.
  • Vast experience in building with AI, analyzing complex data structures and applying it in real products
  • Strong experience with TypeScript / Node.js / Next.js or similar modern stacks
  • You have a quality mindset and understand the importance of test automation
  • Comfortable with high pace and ambiguity, you enjoy shipping fast & improving continuously
  • You think like an engineer and a product builder: balancing clean code with customer impact

💪 What You’ll Get

  • Impact: Build core systems in a product used by world-class hardware teams
  • Ownership: Work with high autonomy and see your code directly impact customers
  • Mentorship: Learn from and collaborate with senior engineers and founders
  • Modern Tech: Work with a cutting-edge stack and experiment with AI applications
  • Growth: Shape the early technical direction of a fast-scaling SaaS startup
  • Culture: Low-ego, high-trust team that values craftsmanship and execution
  • Location: Join us in Munich’s startup hub at WERK1 (hybrid optional)

🧭 Why valuemize

We’re not building another AI/SaaS tool, we’re building the cost intelligence layer that will define how Europe manage margins in physical products.

If you want to work on meaningful software, combine engineering excellence with real-world impact, and be part of a founding-stage team - this is your opportunity.

🌍 Location: Munich

⏰ Start: Immediate

💰 Package: Competitive compensation

✉️ Excited? Let’s Build.

Send us a short message about why you want to join valuemize and what excites you about building intelligent software for manufacturing.

→ Apply by email: [email protected]

  • We’d love to build this with you.

Working student essentials

What this Tech working student role in Munich means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.

Weekly hours

Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.

Working student rules

Social contributions

Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.

Check your insurance

International students

Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.

Studying in Germany

Frequently asked questions

Similar jobs