Object Detection Jobs
Computer vision roles requiring Object Detection expertise, across all industries and experience levels.
Open Positions
What is Object Detection?
Object detection locates and classifies multiple objects in an image, returning a bounding box and label for each. It is the single most widely deployed computer vision capability in industry, and the entry point for most applied CV work.
Where Object Detection is used
Vehicle and pedestrian detection, retail shelf monitoring, weed identification, defect spotting and perimeter security are all detection problems at heart, which is why the skill transfers across industries so readily.
Roles that ask for Object Detection
- Computer Vision Engineer
- Perception Engineer
- Deep Learning Engineer
- Machine Learning Engineer
- Applied Scientist
Related skills & tools
Object Detection jobs — common questions
Which detection architectures matter in practice?
The YOLO family dominates real-time deployment. Faster R-CNN remains relevant where accuracy outweighs latency, DETR and its variants removed the need for anchors and NMS, and open-vocabulary detectors such as Grounding DINO are increasingly used where classes are not fixed in advance.
What separates a strong detection engineer from an average one?
Data work, not architecture selection. Handling class imbalance, curating hard negatives, designing sensible augmentation, setting NMS and confidence thresholds for the actual operating point, and diagnosing failures with per-class and per-size metrics rather than a single mAP number.
Is object detection a crowded skill?
It is the most common CV skill, so on its own it is not differentiating. Combining it with a harder specialisation — 3D detection, edge deployment, a regulated domain — is what raises the ceiling on these roles.