Symbotic is changing the way consumer goods move through the supply chain by reinventing warehouse automation for increased efficiency, speed and flexibility with its A.I.-powered robotic technology platform. The Machine Learning team is working on sophisticated algorithms in areas such as routing, perception, and computer vision to solve critical issues in creative and innovative ways.
Requirements
- Strong programming skills in Python and/or C++ (Python is preferred).
- Experience with ML frameworks such as PyTorch and/or Tensorflow (PyTorch is preferred).
- Experience with image processing such as OpenCV.
- Publications at high-impact conferences/journals (e.g., CoRL, ICLR, NeurIPS, ICML, ICLR, RSS, ICRA, IROS, RAL, AAAI, ICAPS, IJCAI, JAIR, etc.) on some of the aforementioned topics.
- Experience with RGB cameras (pinhole camera model, calibrations, projections).
- Experience with 3D sensors and point cloud processing such as PCL.
- Experience with embedded computing such as Nvidia Jetson.
Responsibilities
- Research and experiment with traditional computer vision methods and deep learning methods for object detection, classification, segmentation, pose estimation, anomaly detection on images or videos.
- Evaluate and benchmark computer vision methods on production data.
- Deploy software to production on robot hardware.
- Design data pre and post processing methods.
- Document designs, code, experiments, evaluations.
- Identify high-impact scenarios where AI Planning and machine learning can be applied to optimize the Symbotic robotics software.
- Adapt state-of-the-art approaches or develop high-performance algorithms to solve real-world multi-robot problems.
Other
- Currently pursuing PhD or Masters degree in Computer Science or other related discipline required.
- Enjoys learning new technologies, skills, and techniques as well as teaching them to others.
- Up to 10% of travel may be required.
- Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.
- The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.
