4 days ago
Zürich, SwitzerlandIntern
Responsibilities
- Process, curate, and analyze multimodal sensor data for training Vision-Language-Action models.
- Develop software tools to visualize data and debug model performance.
- Work with senior engineers on data strategies that improve robotic system robustness.
- Integrate software components to evaluate algorithms in simulation and on hardware.
- Learn about and contribute to VLA, self-supervised learning, and generative AI developments.
Requirements
- At least a BSc in computer science, robotics, machine learning, or a related field.
- Proficiency in Python and experience with deep learning frameworks, preferably PyTorch.
- Hands-on deep learning for computer vision experience through coursework, internships, or projects.
- Familiarity with NumPy, Pandas, and OpenCV.
- Strong problem-solving skills and willingness to work with complex real-world data.
- Bonus qualifications include an MSc or ongoing PhD, large-scale image or video dataset experience, transformer or vision-language model knowledge, VLA experience, 3D geometry, camera projections, sensor fusion, robotics, and motion or action prediction.
Benefits
- In-person work at RIVR office locations is required.
- Hands-on experience with state-of-the-art VLA models and autonomous robotic systems.
- Exposure to self-supervised learning, generative AI, simulation, and physical robot hardware.
- Collaborative learning environment within RIVR, part of Amazon.
- Applications are limited to Schengen Area citizens, except ETHZ and EPFL students completing compulsory internships.
Categories
ML EngineeringRobotics
