Skild AI
Robotics
ResearchRobotics/ComputerVisionEngineer
“Research Robotics/Computer Vision Engineer at Skild AI. Skills: Robotics, Computer Vision, 3D Reconstruction, Autonomous Navigation. Implement perception on robots. Enable safe exploration”
Industry & Context.
What They're Looking For.
Must Have
Master's degree in Computer Vision, Master's degree in Robotics, 1 year of experience in Machine Learning, 1 year of experience in Data Science, Reconstructing 3D scenes using monocular videos, Reconstructing 3D scenes using meshes, Reconstructing 3D scenes using pointclouds, Reconstructing 3D scenes using Neural Radiance Fields, Reconstructing 3D scenes using Gaussian, Reconstructing rigid and articulated hand-held objects, Inferring time-varying hand configurations, Inferring relative poses of hands, Using generative computer vision, Using diffusion models to guide reconstruction, Addressing occlusion in videos, Addressing limited viewpoint variations in videos, Optimizing attention-based models for perception, Using Neural Architectural Search (NAS), Cloud-based training in AWS, Cloud-based training in Google cloud, Cloud-based training in Vetex AI, Optimized data loading for cloud based distributed training, Optimized data loading for deep learning workloads, Optimized data loading with hardware-in-loop
What You'll Do.
Implement perception on robots
Enable safe exploration
Enable navigation in real world environments
Reconstruct scene in 3D
Estimate camera poses
Optimize SLAM systems
Develop software tools for localization
Localize robot using visual inputs
Build robust software for life-long mapping
Perform visual servoing
Research novel techniques for glare
Detect glare during robotic mapping
Cater to glare during robotic mapping
Detect glare during robotic navigation
Cater to glare during robotic navigation
Build infrastructure and pipeline
Collect data for streaming
Stream hand movements
Train robot manipulation tasks
Maintain navigation stack
Fix bugs in navigation stack
Add customer feature requests
Ensure successful deployments
How You'll Work.
Team & Collaboration
Locomotion team
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