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About the Role
This role focuses on enhancing the perception capabilities of the custom-built "Ghost" robot, designed for automating retail operations in Japanese convenience stores. The goal is to achieve a high level of autonomy and operational reliability through vision-based systems that understand and act within complex, dynamic store environments.
Responsibilities
- Contribute to the development of an automation system using custom hardware by building sophisticated software for the perception system, incorporating deep learning, computer vision, and control algorithms.
- Collaborate with other automation engineers to meet priorities and goals set by the executive team.
- Break down abstract goals into actionable tasks and manage your own timeline to achieve company objectives.
- Analyze problems and data accurately and deploy robust and safe systems within given timelines.
- Collect data, analyze outcomes, and continuously improve algorithms with a focus on quantitative performance.
Requirements
- 3+ years of experience developing perception systems or equivalent experience, including academic research.
- Quick and accurate problem-solving skills.
- Strong debugging and issue-monitoring capabilities.
- Extensive experience in low-level computer vision, machine learning, and deep learning, including implementing state-of-the-art methods from scratch.
- Proficiency in Python and commonly used libraries, such as PyTorch, OpenCV, NumPy, and SciKit.
- Experience with libraries such as Open3D, Point Cloud Library, MMDetection, FastAI, etc., is not mandatory but is considered an advantage.
- Experience working with RGB and depth sensors (or multi-sensor setups like RGB + LiDAR).
- Familiarity with data augmentation techniques.
- Proven track record in customizing deep learning applications, such as object detection/segmentation, keypoint detection, 3D pose estimation and reconstruction.
- Experience with model performance optimization techniques (speed, latency, etc.), for example, network layer optimization, TensorRT / TorchScript.
Skills
- Deep learning
- Computer vision
- Control algorithms
- Python
- PyTorch
- OpenCV
- NumPy
- SciKit
- Open3D
- Point Cloud Library
- MMDetection
- FastAI
- RGB sensors
- Depth sensors
- Data augmentation
- Object detection
- Object segmentation
- Keypoint detection
- 3D pose estimation
- 3D reconstruction
- Model performance optimization
- Network layer optimization
- TensorRT
- TorchScript
- Modern C++ (C++11, C++14, or newer)
- ROS
- Camera calibration
- Hand-eye calibration
- Synthetic dataset generation
- Domain randomization
- Blender
- OpenGL
- Isaac Sim
- MuJoCo
- Manipulators
- Motion planning
- Motion execution
- Signal processing
- Network communication (pub/sub, req/rep)
Experience Level
- 3+ years of experience developing perception systems or equivalent experience, including academic research.
About the Company
- The "Ghost" robot has the potential to reshape the retail landscape in Japan and beyond.