Robotics ML and Data Intern

Jackalope Digital LLC; Stuttgart; Hybrid; EUR 13.000 - 20.000; Teilzeit

Benefits dieser Stelle

Gym membership

Flexible hours

Remote work option

Open culture

Hands-on AI robotics

Mentorship

Zusammenfassung

Jackalope Digital LLC. is seeking a curious data science intern to join our ML team in Stuttgart. You will help prepare, label, and analyze data powering our robotics perception and decision-making systems, gaining hands-on experience with real-world ML pipelines in a fast-growing startup.

The role emphasizes Python, ML concepts, data manipulation with NumPy/Pandas, and collaboration with ML and engineering teams to deliver robust data-driven solutions.

Qualifikationen

• Pursuing or completed Bachelor's/Master's in CS/Data Science/ML/Engineering.
• Coursework or projects in ML, CV, or related field is a plus.
• Willingness to learn in a fast-paced startup and contribute effectively.

Aufgaben

• Label and annotate data for ML training and evaluation.
• Collaborate on data cleaning and pipeline tooling.
• Assist with model training, evaluation, and experiment tracking.
• Prepare reports and visualizations to support data-driven decisions.

Kenntnisse

Python programming

ML concepts

NumPy/Pandas

Data visualization

Attention to detail

Team collaboration

German knowledge

Ausbildung

CS/Data Science/ML/Engineering

ML/CV coursework

Tools

OpenCV

PyTorch

TensorFlow

Label Studio

CVAT

Docker

Cloud ML envs

Jobbeschreibung

Who We Are

We build the intelligence that lets robots sense, reason, and act in the real world—moving beyond the lab and into everyday industrial settings like warehouses and factories. Our technology closes the automation gaps that traditional systems can't solve. We are on a mission to redefine how physical work gets done, and we're looking for curious, bold thinkers to help shape the future of robotics with us.

Overview

We are looking for a curious and detail-oriented intern to join our data and machine learning team. In this role, you will work alongside our ML and engineering teams to help prepare, label, and analyze data that powers our robotic perception and decision-making systems. This is an excellent opportunity to get hands-on experience with real-world ML pipelines in an AI robotics startup.

Your Responsibilities

Data Labeling & Annotation

• Perform data labeling and annotation activities for training and evaluating machine learning models.

• Help maintain and improve annotation quality standards and guidelines.

• Work with various data types including images, point clouds, and sensor data from robotic systems.

Data Analysis & Preparation

• Assist with data analysis, cleaning, and preparation for model training and evaluation.

• Help build and maintain data pipelines and tooling to streamline data workflows.

• Generate reports and visualizations to enable data-driven decision-making.

ML Activities

• Contribute to model training, evaluation, and related ML activities.

• Help track and document experiment results, model performance metrics, and dataset versions.

• Assist with integrating trained models into the product pipeline for testing and validation.

Qualifications

Education and Experience

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Engineering, or a related technical field.

• Coursework or project experience in machine learning, data science, or computer vision is a plus.

Skills

• Proficiency in Python programming.

• Basic understanding of machine learning concepts (supervised learning, model training and evaluation).

• Experience with data manipulation libraries such as NumPy, Pandas, or similar.

• Familiarity with data visualization tools (Matplotlib, Seaborn, or similar).

• Strong attention to detail and a structured approach to working with data.

• Good communication skills and the ability to work collaboratively in a team.

Additional Skills / Nice to Have

• Experience with computer vision libraries (OpenCV, torchvision) or deep learning frameworks (PyTorch, TensorFlow).

• Familiarity with annotation tools (e.g., Label Studio, CVAT, or similar).

• Experience working with Docker or cloud-based ML environments.

• Knowledge of German is a plus.

Our Interview Plan

• Recruiter screen: A conversation to learn about your background, interests, and availability.

• Technical screen: A deeper look into your skills, problem-solving approach, and technical fit for this role.

• Final round: Meet the team leadership, discuss the role in more detail, and get a clear feel for the working environment.

What We Offer

• Wellpass (gym membership)

• Flexible working hours

• Option to work from home when needed

• A motivated team and an open corporate culture

• Hands-on experience with cutting-edge AI robotics technology

• Mentorship and learning opportunities within a fast-paced startup

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