About Canoo

If you're intrigued by the dream of working alongside the smartest & most revolutionary designers and engineers in the EV space, Canoo just may be the place for you. Are you a person who is irked by the status quo? Do you derive personal satisfaction from doing something you've never done before, and seeing that work actually put into production? Here at Canoo, every day is vastly different from the one before it, as we're moving swiftly toward our goal of changing the way the world looks at Urban Mobility. We’re a well-funded start-up, led by the who's who of EV business leaders, whose passion brought them together on this special mission. We're diligently preparing for our first vehicle launch and looking for deeply experienced and passionate talent, who are not just looking for a “job," but rather are driven to raise the bar and create new benchmarks within the global EV industry. Read on...

Job Purpose

The Computer Vision Machine Learning Engineering Intern will assist in the development of Advanced Driver Assistance Systems. This includes developing software compliant with the Automotive Open System Architecture (AUTOSAR), collaborating with fellow employees to develop and meet requirements and creating effective documentation. Depending on previous experience and field of study, you may assist in developing diagnostics, algorithms, testing and validating software, and/or diagnostics. You can expect to be working with industry leading software tools that help optimize the workflow for the full stack of development.

This is a paid internship for Summer 2021 with an option to start on May 24, 2021 or June 21, 2021 and an option to end on August 13, 2021 or September 10, 2021.


  • Train machine learning and deep learning models for object detection, classification, and image segmentation tasks
  • Develop Computer Vision algorithms including image processing, feature extraction, object detection, classification, tracking, segmentation, pose estimation, camera calibration, optical flow, stereo, and structure from motion
  • Design and implement sensor fusion algorithms
  • Analyze the performance of the perception algorithms/modules
  • Optimize the code in order to run the algorithm on embedded systems


  • Currently pursuing or recently completed Bachelor’s degree (B.S./B.A.) in Mechanical, Electrical, Computer Science or Aerospace Engineering
  • Solid understanding of machine learning, optimization, algorithms
  • Familiar with one of the deep learning frameworks, Tensorflow, Pytorch or MXNet
  • Expertise in state estimation, Kalman filters, statistical signal processing, machine learning
  • Excellent C/C++ programming in production environment – unit testing, code review, algorithm performance and tradeoff analysis
  • Strong analytical and problem solving skills
  • Excellent written and verbal communication skills

Preferred Experience

  • Currently pursuing a Master’s or PhD
  • Maintaining a minimum of 3.2 GPA in a 4.0 grade scale
  • Previous experience in the automotive industry

What’s cool about our internship program…

  • Work with some of the most innovative minds in EV
  • Work closely with leaders working on LIVE projects in the EV industry
  • Build long lasting relationships in a high-growth start up that will redefine urban mobility
  • Take a big step towards your future career
  • Lots of team-building and networking opportunities (even remotely)
  • All Internships are PAID internships

Canoo is an equal opportunity-affirmative action employer and considers all qualified applicants for employment based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, age, disability, sexual orientation, gender identity or expression, marital status, past or present military service or any other status protected by the laws or regulations in the locations where we operate.

Any unsolicited resumes or candidate profiles submitted in response to our job posting shall be considered the property of Canoo Inc. and its subsidiaries and are not subject to payment of referral or placement fees if any such candidate is later hired by Canoo unless you have a signed written agreement in place with us which covers the applicable job posting.