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Intern-Machine Learning
Confirmed live in the last 24 hours
Locations
Burlington, MA, USA
Experience Level
Intern
Desired Skills
AWS
Docker
Google Cloud Platform
Jenkins
Git
Management
Microsoft Azure
SQL
Tensorflow
Kubernetes
Python
Scikit-Learn
Requirements
  • Currently pursuing degree in a Computer Science or other related discipline required
  • Strong programming skills in Python and SQL
  • Experience with source control (git), software testing frameworks (pytest), and CI/CD pipelines (Jenkins)
  • Enjoys learning new technologies, skills, and techniques as well as teaching them to others
  • Cloud-hosted environments (AWS, GCP, Azure)
  • Containerized development (Kubernetes, Docker, etc.)
  • ML frameworks such as scikit-learn, TensorFlow, or similar procedures and tooling supporting rigorous and repeatable scientific computing, including data management and experiment tracking
Responsibilities
  • Derive and obtain machine-learnable data by collecting, cleaning, preprocessing, and labeling data generated by our robotic systems and maintenance records
  • Work with site operators to track and understand robot maintenance issues
  • Establish pipelines that train, deploy and maintain ML models in the cloud using Microsoft Azure
  • Evaluate and implement cutting-edge ML tools, platforms, and services
  • Create visualizations to extract understanding from spatial- and time-domain data
  • Develop high quality code and packages following software engineering best practices
Symbotic

501-1,000 employees

Integrated supply network automation solutions
Company Overview
Symbotic’s mission is to harness the power of new technologies to transform warehouse operations. The company has developed a truly automated end-to-end warehouse management software solution that makes supply chains faster, more efficient, and more profitable for businesses of all sizes.