Research Engineer

Responsibilities

• Develop and deploy computer vision and perception models.
• Build AI systems for 3D pose, depth, VIO/SLAM, detection, and video understanding.
• Design data pipelines for training and inference.
• Improve model accuracy, scalability, and performance.
• Build production-ready ML systems using Python and PyTorch.
• Deploy and monitor ML inference systems on AWS.
• Work with robotics and multimodal data.
• Collaborate with engineering teams to integrate AI solutions.

Requirements

• Computer Vision, Robotics, ML, or equivalent experience.
• Strong Python and PyTorch skills.
• Experience training and deploying perception models.
• Strong knowledge of multi-view geometry and camera calibration.
• Experience with AWS, containers, and production ML pipelines.
• Research publications or robotics/vision open-source experience is a plus.