Intern (m/f/d) Vision-Language-Action Models

Agile Robots SE · Munich

InternshipGerman needed: none

Still open on 3 Nov

You apply on the company's own website.

Key facts

Subject you study: Computer Science, Robotics, Machine Learning, Engineering

Experiments: Run training experiments and ablation studies, changing one part of the model, data, or training setup at a time and recording its effect on performance.
Model Development: Implement and test changes to model code and training pipelines under the guidance of the researchers you work with.
Robot Evaluation: Test trained models on real robots, measure how often they complete their tasks, and analyze the failures.
Dataset Preparation: Prepare, clean, and analyze robot datasets that combine camera images, robot states, and actions, including checking that recordings are complete and aligned in time.
Data Collection: Help collect new demonstration data on real robots, for example by teleoperating a robot arm through a task.

Education: Enrollment in a Master’s programme in computer science, robotics, machine learning, engineering, or a related field.
Deep Learning: Hands-on experience training neural networks in Python with PyTorch or a comparable framework, for example in coursework, a thesis, or a project.
Debugging: Writing maintainable code and tracing a failing run back to its cause in the data, the code, or the setup.
Data Handling: Experience loading, cleaning, and analyzing large datasets in Python with libraries such as NumPy or pandas.

A dynamic high-tech company, combined with financial soundness and world-class investors.
Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
Lots of development opportunities as we continue to grow.
Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.
Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment

Experiments: Run training experiments and ablation studies, changing one part of the model, data, or training setup at a time and recording its effect on performance.
Model Development: Implement and test changes to model code and training pipelines under the guidance of the researchers you work with.
Robot Evaluation: Test trained models on real robots, measure how often they complete their tasks, and analyze the failures.
Dataset Preparation: Prepare, clean, and analyze robot datasets that combine camera images, robot states, and actions, including checking that recordings are complete and aligned in time.
Data Collection: Help collect new demonstration data on real robots, for example by teleoperating a robot arm through a task.

Education: Enrollment in a Master’s programme in computer science, robotics, machine learning, engineering, or a related field.
Deep Learning: Hands-on experience training neural networks in Python with PyTorch or a comparable framework, for example in coursework, a thesis, or a project.
Debugging: Writing maintainable code and tracing a failing run back to its cause in the data, the code, or the setup.
Data Handling: Experience loading, cleaning, and analyzing large datasets in Python with libraries such as NumPy or pandas.

A dynamic high-tech company, combined with financial soundness and world-class investors.
Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment.
Lots of development opportunities as we continue to grow.
Challenging tasks and impactful projects alongside experts that enable professional and personal growth.
Corporate Benefits Program covering health, mobility, and learning for 100€ net per month.
Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment