Autonomy Intern, Perception

Overview

The intern will support development of the data flywheel pipeline powering our robotics fleet's AI capabilities, including a prototype query system for dataset retrieval and collation. They will also design and run 2D detection and segmentation experiments, delivering benchmarking results and recommendations to the team.

Key Responsibilities:

KR1: Support the building of the data flywheel pipeline that powers the AI capabilities of our robotics fleet.

KR2: Build a smart database query system for fast dataset retrieval and collation

KR3: Designing and running visual model experiments for 2D detection and segmentation pipeline, with results provided back to the team to act on.

Deliverables:

(from KR2) A working prototype of a smart database query system.

(from KR3) Provide sets of benchmarking results for vision model experiments, with clear findings and recommendations for the production stack.

Learning Objectives:

State what the intern should be able to do by the end of the placement. These should be specific and assessable — they will also form the basis of the mid-point and final review.

See the full data flywheel in motion: collection, curation, labelling, QA, and retraining at fleet scale.

Train and benchmark modern vision models on real-world data from robots in live commercial environments.

Put vision-language models to work and automate what used to be manual annotation effort.

Build the engineering habits that separate research code from shipped code (reproducibility, versioning, clean experiments).