How do I apply for the Intern Artificial Intelligence (m/f/d)* position at Munich Re and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Munich Re paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Intern Artificial Intelligence (m/f/d)* role?

This position is a full-time, structured as a on-site role, with an expected duration of 6 months.

What educational background or degree level is required for the Intern Artificial Intelligence (m/f/d)* at Munich Re?

Candidates are generally expected to be holding or pursuing the following degree levels: Master, Bachelor.

Does Munich Re provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Intern Artificial Intelligence (m/f/d)*

Munich Re

Found 2 months ago

Location

Munich, Germany

Duration (Months)

6 Months

Time

Full-time

Work Mode

On-site

Salary

Competitive Salary

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Master
Bachelor

Skills & Qualifications

Technical Skills

Machine Learning
AI
python
DevOps
Git
unit testing
Deep Learning
neural network architectures
training techniques
Natural Language Processing
Computer Vision
Machine Learning Operations
evaluation and monitoring of machine learning systems
performance
fairness
trustworthiness
concept drift
Large Language Models
Generative AI
prompt engineering
orchestration
RAG techniques
agentic workflows
fine-tuning
deployment of foundation models
business analytics
web development
app development
backend engineering
cloud computing platforms
containerization technologies
CI/CD
data science
engineering

Soft Skills

Excellent communication and organization skills
highly motivated
hands-on mentality

Job Description

Join our AI department as an intern, supporting our highly motivated and ambitious teams. Contribute hands-on to the development and continuous improvement of our internal AI products and platforms. Collaborate closely with our team of AI experts and stakeholders throughout Munich Re’s reinsurance business. Depending on your individual experience and preferences, you'll be embedded in one of our project teams with various focus areas. Your day-to-day activities may include system and requirements design, code implementation, testing and continuous integration, infrastructure and deployment, user research, evaluation and analytics, data curation, technology consulting, or integration of cutting-edge academic research.

Requirements

Master’s studies (or final year of Bachelor's studies) with a strong academic record in a quantitative field like Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related discipline
Excellent communication and organization skills; highly motivated with a hands-on mentality.
Demonstrated programming experience in python and first experiences with DevOps best-practices (e.g. Git, unit testing).
A strong foundation, both in theory and practice, in one or more of the following areas: Deep Learning (e.g. neural network architectures and training techniques, Natural Language Processing, Computer Vision), Machine Learning Operations (e.g. evaluation and monitoring of machine learning systems regarding performance, fairness, trustworthiness, concept drift, …), and/or Large Language Models and Generative AI (e.g. prompt engineering and orchestration, RAG techniques, agentic workflows, fine-tuning, evaluation, and/or deployment of foundation models).
You are available for an internship duration of 6 months or longer.
If desired, part-time work can be arranged after an initial full-time period of at least 3 months.

AI & Machine Learning

Applied Machine Learning

Nice to Haves

business analytics
web and app development (especially backend engineering)
cloud computing platforms
containerization technologies
CI/CD
other data science and engineering fields

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Open Positions

24Open Positions

Intern Artificial Intelligence (m/f/d)*

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Nice to Haves