UVC Partners: Data & AI – Master Thesis / Internship (f/m/x)

About This Opportunity

Our talent team is representing a confidential early-stage venture capital firm based in Munich. This organization invests in B2B technology startups across Europe and maintains a specialized research function at the intersection of applied AI and investment intelligence.

We are seeking a Master's student or intern to join a technical team working on machine learning systems that directly inform investment decisions. This is a hands-on research role where you will own a project from literature review through working prototype, presenting findings to investment professionals.

Responsibilities

• Conduct applied research at the intersection of machine learning and venture capital intelligence
• Take ownership of a research question from initial exploration through implementation and presentation
• Build working prototypes using modern AI/ML tooling and present results to decision-makers
• Work with proprietary venture data and production pipelines
• Collaborate with investors, AI researchers, and engineers on the data team
• Use AI-assisted coding tools effectively while maintaining code quality and reviewing all outputs

What We're Looking For

• Currently enrolled in a Master's program in Computer Science, Data Science, Data Engineering, Information Systems, or related field at a recognized university
• Depth or strong ambition in at least one relevant area: graph ML and graph databases (e.g. PyTorch Geometric), LLM tooling and evaluation, or probabilistic modeling (e.g. PyMC, NumPyro)
• Strong Python development skills with clean, modular coding practices
• Solid fundamentals in machine learning and statistics
• Experience with AI-assisted coding tools and sound judgment about their capabilities and limitations
• Demonstrated ability to work independently and drive projects with minimal supervision
• Fluent English including technical communication (German helpful but not required)
• Portfolio or GitHub demonstrating relevant technical work

Potential research directions include: Graph Neural Networks for relationship-structured data, program-aided language models for accurate financial computation, or Bayesian updating systems for evolving company assessments. The specific focus will be defined together based on your background and project evolution.

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team conducts an initial screen to understand your background and research interests. Qualified candidates are then introduced to our client for technical interviews. Please do not attempt to contact the client directly, as all communication is managed through our team to ensure a structured process.

This is a six-month commitment for either a Master's thesis or internship. Academic supervision arrangements can be discussed during the interview process.

Pay

Compensation details will be discussed with qualified candidates during the screening process.

Get A Job.ai is an equal opportunity employer committed to building diverse candidate pools. We encourage applications from individuals of all backgrounds, experiences, and perspectives.