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WE MAKE
BIG IDEAS HAPPEN

Join Us for the Future: hr@montrealrobot.com

LOCATION

We’re based in Canada, USA and Mexico

Our team comprises skilled professionals with extensive expertise in engineering, robotics, and artificial intelligence, hailing from prestigious institutions like the UdeM, MILA and McGill University. Together, we bring a wealth of knowledge and experience to deliver outstanding solutions in these cutting-edge fields.

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JOB OPENINGS

Changing the future of transportation means thinking differently.

Follow your own career path at MontrealRobot, with all the tools, training and opportunities available to realise your true potential.

Robot Programmer

Montreal, QC

MontrealRobot is looking for an experienced Robotics engineer that has a drive to advance their career to the next level. An ideal candidate will be a familiar with multiple types of robotics integrations and has a proven track record.

Robotics Support Engineer

Toronto, ON

Provide remote/onsite hyper-care support after implementation, such as hardware, software and network troubleshooting and system firmware upgrade.
Participate in User Acceptance Testing (UAT) during the implementation to take over the knowledge from the implementation team.
Respond to customer inquiries and assist in troubleshooting and resolving challenges.

Test Automation Engineer

Montreal, QC

Our ideal candidate should have a perfect blend of software developer and QA automation skill sets.

Establishing / refining an automation test strategy and plan for a platform comprising of various APls, mobile and web applications.

Continuously create and integrate automated test suites with development pipeline thereby enhancing the automation framework as well as expanding the automation coverage.

Machine Learning Engineer

San Francisco, CA

Thorough understanding of Python

Comfortable leading and mentoring a team

3+ years of experience building and shipping software

2+ years’ experience in deep learning and computer vision

Experience with deploying ML on the edge or in the cloud

Thorough understanding of ML frameworks (PyTorch, TensorFlow, CUDA)

Knowledge of computer vision neural networks such as Fast-RCNN, ResNet, Mask-RCNN

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