Data / ML Internship

AI Research & Impact Fellowship

at Masterly Inc.

๐Ÿ“ Location Greater Toronto Area
๐Ÿ“‹ Details Intern
๐Ÿ“… Posted

About the Role

Perform cutting-edge AI research and data experiments

About Masterly Inc.

Interdisciplinary AI research company exploring real-world impact

Full Description

Company Description

Masterly Inc. is a cutting-edge company that integrates intelligence, infrastructure, and real-world environments to drive technological innovation. With expertise spanning mobility, defense, health, clean technology, agriculture, and advanced manufacturing, Masterly leverages sensors, big data, and AI to create a unified, trusted architecture. Through the Masterly Catalyst framework, the company transforms emerging technologies into dependable, deployable solutions that empower industries to operate with confidence. Masterly's mission is to enable organizations and institutions to seamlessly adopt future-ready systems without fragmentation or uncertainty.

Role Description

This internship-based AI Research & Impact Fellowship is a hands-on, on-site role located in the Greater Toronto Area, Canada. As a Fellow, you will conduct cutting-edge AI research, analyze complex datasets, and explore real-world applications of AI to address pressing challenges across industries. You will be responsible for developing innovative algorithms, collaborating with multidisciplinary teams, and contributing to technical reports and presentations to share your findings.

Qualifications

  • Strong foundations in Machine Learning, Data Science, and Artificial Intelligence
  • Skills in Programming (e.g., Python, R, or similar) and familiarity with big data tools and technologies
  • Proficiency in Research, Data Analysis, and Algorithm Development
  • Understanding of practical AI applications
  • Ability to work collaboratively in a team and effectively communicate technical concepts
  • Experience with cloud-based platforms, statistical models, or research publishing is a plus
  • Pursuing or completed a degree in Computer Science, Data Science, Engineering, or a related discipline

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