Computer Vision Engineer (Paid Internship)

About the Role

Join SKEYEBOTS as a Computer Vision Engineering Intern, developing and optimizing vision-based perception modules for autonomous drones. Work on real-time object detection, classification, and tracking algorithms tailored for complex environments, supporting applications in defense, disaster response, agriculture, and more.

Responsibilities

• Develop and implement computer vision algorithms for object detection, classification, and tracking.

• Manage and preprocess custom datasets including annotation and augmentation.

• Train and fine-tune deep learning models such as YOLO, SSD, DeepSORT, and Transformer-based detectors.

• Integrate vision algorithms with PX4 flight stack or other robotics middleware.

• Optimize models for real-time inference on embedded or edge computing platforms.

• Assist with dataset collection and validation during field testing.

• Help build visualization tools using Qt or other frameworks.

Minimum Qualifications

• Strong programming skills in Python and C++.

• Experience with computer vision libraries such as OpenCV, TensorFlow, PyTorch, or similar.

• Understanding of object detection and tracking algorithms.

• Familiarity with dataset annotation tools and practices.

• Ability to work independently and collaboratively in a team environment.

• Interest in robotics, drones, and embedded vision systems.

Preferred Qualifications

• Experience with PX4 or robotics middleware integration.

• Knowledge of deep learning architectures and training workflows.

• Exposure to embedded or edge computing platforms such as NVIDIA Jetson or Raspberry Pi.

• Familiarity with ROS or other middleware systems.

• Prior experience working with custom vision datasets.

What You'll Gain

• Opportunity to work and collaborate with Industry and subject matter experts based in Silicon Valley, United States, and India.

• Competitive pay and other benefits.

• Real-world experience developing computer vision algorithms for autonomous systems.

• Mentorship from engineers working on cutting-edge drone and robotics technology.

• Opportunity to transition to a full-time role based on performance.

• Involvement in impactful projects with applications in safety, agriculture, and defense.