AI Intern – Vision-Language-Action (VLA) & Data

Job Description

As an AI Intern - VLA & Data, you will assist the AI engineering team in developing data pipelines and training Vision-Language-Action (VLA) models for robotic systems. In this role, you will sit at the intersection of data engineering and model training, assisting the team in solving the "data bottleneck" in embodied AI. Additionally, your responsibilities will include building tools to analyze datasets, visualize model predictions, and debug performance. You will work closely with senior engineers to understand, curate, and visualize the massive amounts of multi-modal data our fleet generates. This role offers hands-on experience within a dynamic and collaborative environment. We are committed to finding and nurturing exceptional talent; our internships are a key pathway to recruiting outstanding graduates who can make a significant impact in our team.

Support the team in processing, curating, and analyzing multi-modal sensor data for training VLA models.

Get hands-on experience with state-of-the-art VLA models.

Assist in developing software tools to visualize data and debug model performance.

Work closely with senior engineers to implement data strategies that improve the robustness of our robotic systems.

Help integrate software components to evaluate algorithms in simulation and on hardware.

Engage in continuous learning and gain exposure to recent developments in VLA, self-supervised learning, and generative AI.

At least BSc in Computer Science, Robotics, Machine Learning, or a related field.

Proficiency in Python and experience with deep learning frameworks (preferably PyTorch).

Hands-on experience (either through coursework, previous internships, or other projects) with deep learning for computer vision.

Familiarity with data manipulation libraries (e.g., NumPy, Pandas, OpenCV).

Strong problem-solving skills and an eagerness to work with complex, real-world data.

Eagerness to learn and contribute in a collaborative team environment.

An MSc or ongoing PhD in a related field.

Previous experience working with large-scale image or video datasets.

Knowledge or experience with transformers, Vision-Language Models and/or VLA’s.

Experience with 3D geometry, camera projections, or sensor fusion.

Experience working with robotic systems

Experience in motion/action prediction in robotics context.