Robotics ML and Data Intern

Sereact
Stuttgart
Workplace: HybridInternshipFunction: Healthcare (Clinical, Medical, Wellness)Education: bachelorsSkills: ["Attention to detail","Structured approach","Communication","Collaboration"]

Join the data and machine learning team to prepare, label, and analyze training data that powers robotic perception and decision-making. You’ll work with images, point clouds, and sensor data, helping maintain annotation quality, clean and prepare datasets, build data pipelines, and support model training and evaluation. You’ll also track experiment results and help integrate trained models into the product pipeline for testing and validation.

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Sereact
Sereact
2 days ago

Robotics ML and Data Intern

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Last checked: 2 minutes agoStatus: Live

Job Summary

Join the data and machine learning team to prepare, label, and analyze training data that powers robotic perception and decision-making. You’ll work with images, point clouds, and sensor data, helping maintain annotation quality, clean and prepare datasets, build data pipelines, and support model training and evaluation. You’ll also track experiment results and help integrate trained models into the product pipeline for testing and validation.
Location: Stuttgart
Workplace: Hybrid
Employment Type: Internship
Job Function: Healthcare (Clinical, Medical, Wellness)
Seniority: Intern level

Key Responsibilities

  • •Perform data labeling and annotation activities for training and evaluating machine learning models.
  • •Maintain and improve annotation quality standards and guidelines.
  • •Assist with data analysis, cleaning, and preparation for model training and evaluation.
  • •Help build and maintain data pipelines and tooling to streamline data workflows.
  • •Contribute to model training and evaluation activities, including tracking experiment results and dataset versions.

Pay and Benefits

Perks:Gym MembershipRemote Work

Key Requirements

  • •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.
  • •Proficiency in Python programming.
  • •Basic understanding of machine learning concepts including supervised learning and model training/evaluation.
  • •Experience with data manipulation libraries such as NumPy, Pandas (or similar).
Experience:AI roboticsComputer vision
Education:Bachelor's
Skills:Attention to detailStructured approachCommunicationCollaboration
Languages:German
Tech Stack:PythonNumPyPandasMatplotlibSeabornOpenCVTorchvisionPyTorchTensorFlowLabel StudioCVATDocker

Company Brief

Sereact
Builds AI-driven perception and control software for robotic and automation systems, using computer vision, simulation, and learning techniques to enable adaptable, robust performance in manufacturing, logistics, and industrial environments.
Industry: Robotics
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