PhD Intern- Robot Perception at Symbotic in Wilmington, MA

Summary: Symbotic is an automation technology leader reimagining the supply chain with its AI-powered robotic and software platform. They are seeking a PhD Intern in Robot Perception to research and experiment with computer vision methods and deep learning for object detection and classification, while deploying software to production on robot hardware. 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 - Conduct simulations and experiments to validate the performance of the multi-robot algorithms - Present results in verbal and written communications internally, and in top-tier academic venues Required Qualifications: - Currently pursuing PhD or Masters degree in Computer Science or other related discipline required - 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 - Enjoys learning new technologies, skills, and techniques as well as teaching them to others Preferred Qualifications: - 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 - Experience with code revision control (git) - Experience with containerization (docker) - Experience with using the command line (bash) - Experience with transformation between coordinate systems (homogeneous transformations, Euler angles, quaternions) - Experience with cloud-hosted environments (AWS, GCP, Azure) Required Skills: Python, Machine Learning, Computer Vision Important Skills: PyTorch, TensorFlow, OpenCV, C++ Nice-to-Have Skills: Data Processing, Embedded Computing, Git, Docker, Bash, Coordinate Transformations, Cloud Environments Benefits: Medical, Dental, Vision, Disability, 401K, PTO