Machine Learning for Autonomous Vehicles Intern

XplorSpace Inc.

  Posted: April 26, 2021

  Location: Vancouver, BC (mainly remote), British Columbia

  Internship Program: Digital Tech

  Salary Range: $20,000 - $30,000

  Hours per Week: 35

  Start Date: June 1, 2021

  End Date: December 1, 2021

Job Description

Xplorspace Inc. is a small enterprise focused on providing engineering services relating to aerospace, defence and digital technologies. Xplorspace also supports young entrepreneurs in developing new product ideas in these sectors.
Xplorespace is seeking a Machine Learning Intern to work on machine learning algorithms for autonomous vehicle operation, and detection of anomalies within autonomous systems.

Duties and Responsibilities

• Attend daily stand-up meetings with the team, providing updates on progress
• Perform required development work on software assigned by the company
• Research methods to improve software performance and implement results
• Contribute to developing reports and proposals relating to the project being worked on
• Take part in ideation meetings with other interns and develop a self-directed project as to be completed by the end of the internship

Knowledge and Skills

• Experience with programming in Python, with some machine learning library
• Experience with SCM tools such as Git, Subversion, or Perforce
• Knowledge of machine learning algorithms and computer vision
• Industry experience an asset

Education Required

Undergraduate degree in Science, Engineering, Computer Science, related field, or equivalent experience.

  How to Apply

To apply, send your resume to

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Working with CICan to get a Digital Tech Intern in our company has been an enormous help to us. We were able to expand our team's capabilities and take on additional projects as a result of having the technical resource on-staff. The grant offered by CICan significantly de-risked the process of hiring a recent graduate with minimal experience. Our intern has been fantastic and has been very quick to learn new skills on the job and become a solid contributor within our team.

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