Computer Vision Engineer

About the company

Tutor Intelligence

Computer software · 11 to 50 employees

What you'll do

• Define the technical approach and success criteria for ambiguous perception problems in robot manipulation.
• Build and integrate capabilities such as detection, segmentation, tracking, object pose estimation, and 3D scene understanding.
• Own camera calibration, coordinate transforms, synchronization assumptions, and checks that expose degraded sensor quality.
• Create reproducible datasets and evaluations covering changes in objects, lighting, viewpoint, and occlusion; prevent evaluation leakage.
• Select and adapt geometric methods and learned models based on accuracy, latency, robustness, and operational constraints.
• Deploy and maintain perception in the robot stack; diagnose failures using recorded data and physical experiments.
• Improve shared evaluation tools and documentation, contribute to design reviews, and mentor colleagues in your domain.

What you need

• Evidence of independently owning a substantial computer-vision system from an ambiguous problem through tested integration.
• Strong Python engineering and experience writing maintainable code, tests, and reproducible experiments.
• Practical command of camera models, calibration, coordinate frames, and 3D geometry.
• Experience with geometric vision or learned visual models, with the judgment to explain when each approach is appropriate.
• Ability to build representative evaluations, isolate failure modes, and distinguish model improvements from data or measurement artifacts.
• Ability to communicate technical tradeoffs and resolve interfaces with engineers in other disciplines.

Key skills

Keywords for your resumePro

The words this employer's screening is likely to look for.