Intern - Machine Learning

Who we are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility.

We want to learn from you! Our teams at Symbotic value the early career talent that helps us solve critical issues in creative and innovative ways. That is why we offer Internship and Co-op programs where students have the opportunity to work alongside industry professionals on some of our most pivotal projects. We invite students from institutions across the country to apply online or engage with our teams on campus at career fairs and other events. Symbotic offers an extensive calendar of events including Lunch and Learns, Social Outings, and Volunteer opportunities for our Interns and Co-ops to engage in.  

The Summer Intern session is a 12-week, full-time (40 hours Monday-Friday) program while the Co-op cohorts typically run 16-weeks in the Spring and Fall. In both programs, students are paid a competitive hourly rate. Continue reading to learn more about this exciting opportunity! 

What we need 

The Machine Learning Team at Symbotic is expanding, and we are looking to add talent to the team that will help us build Machine Learning solutions. These additions will assist in the development of deep learning vision models that will help our fleet of autonomous robots to accomplish their missions quickly, safely and efficiently.   

What you’ll do 

• 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.

What you’ll need 

• Currently pursuing Masters degree or above 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.

Good to have

• 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).