Machine Learning Intern, Autonomy
Gravis RoboticsConstruction Technology company
Zurich, SwitzerlandIntern
Pear VC
IQ Capital
Zacua Ventures
Imad (CVC of Nesma & Partners)
Sunna Ventures
Armada Investment
Data & AI
About the role
TL;DR
Intern to develop and deploy ML models for autonomous construction robots.
- •We are looking for passionate, skilled interns with a background in machine learning to join our team—and to actively contribute to the development and deployment of extraordinary construction robots.
- •The ideal candidate should be self-motivated, capable of working autonomously in a team and have a strong desire to solve exciting, challenging, and applied problems.
- •Key Responsibilities Design, test, and deploy novel ML models for autonomous heavy machinery Benchmark and analyze model performance, including conducting ablation studies to evaluate key design choices.
- •Help define performance metrics, validation methodologies, and explore anomaly detection methods to understand the limitations of each architecture and which kind of data is needed for robust performance of the ML models.
- •Collaborate closely with the rest of the teams to improve the reliability and scalability of the ML pipeline.
- •Requirements Proficiency with Python, and Git.
- •Familiarity with popular deep learning libraries (PyTorch, etc.).
- •Experience with data analysis, ML optimization, and hyperparameter tuning.
- •Strong analytical and problem-solving skills, with the ability to interpret experimental results and draw sound conclusions.
Required skills
PythonGitPyTorch
Nice-to-have skills
C++
Domain expertise
automotivedeeptech
Tech stack
PythonGitPyTorchC++