Robotics Intern: Spatial AI & Intelligent Robotics

Flyability

Paudex

Vor Ort

CHF 20.000 - 27.000

Vollzeit

vor 37 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Flyability in Lausanne seeks a Robotics Engineer Intern to bridge robotics, AI, and spatial understanding on our Elios 3 platform. You’ll research, develop, and validate AI-driven capabilities that connect cutting-edge research with real-world autonomous indoor drones.

This 100% position offers hands-on work, collaboration with a multidisciplinary team, and the chance to contribute to future human-robot interaction in hazardous environments while pursuing a Master’s degree.

Qualifikationen

  • Currently pursuing a Master’s degree in Robotics, Computer Science, or a related engineering field.
  • Experience in robotics, machine learning, spatial AI, semantic mapping, scene graphs or related fields.
  • Strong programming skills in Python.
  • Familiarity with vision-language models, LLM fine-tuning, retrieval systems (RAG), graph-based representations, semantic mapping, or deep learning frameworks.
  • Experience with robotics hardware is a plus.
  • Fluent in English; French or other languages are a plus.

Aufgaben

  • Research, develop, and validate AI-driven capabilities for the Elios 3 platform.
  • Bridge state-of-the-art AI research with real-world robotics and autonomous operation.
  • Integrate work into an existing robotics stack and evaluate performance through simulation and experimental validation.
  • Collaborate with cross-functional teams to advance perception, representation, and reasoning in complex environments.

Kenntnisse

Python programming
Robotics
Machine learning
Spatial AI
Graph-based representations
Vision-language models
RAG
English fluency

Ausbildung

Master's degree in Robotics or Computer Science

Jobbeschreibung

Flyability in Lausanne seeks a Robotics Engineer Intern to bridge robotics, AI, and spatial understanding on our Elios 3 platform. You’ll research, develop, and validate AI-driven capabilities that connect cutting-edge research with real-world autonomous indoor drones.

This 100% position offers hands-on work, collaboration with a multidisciplinary team, and the chance to contribute to future human-robot interaction in hazardous environments while pursuing a Master’s degree.

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