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. The Machine Learning Scientist Intern will research and experiment with computer vision methods and deep learning techniques to optimize Symbotic's robotics software and deploy solutions in production. 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: C++, PyTorch, TensorFlow, OpenCV Nice-to-Have Skills: Data Processing, Simulation, Learning Agility, Communication Skills Benefits: Medical, Dental, Vision, Disability, 401K, PTO, Other benefits