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An established industry player in autonomous vehicle technology is seeking a Senior Machine Learning Engineer to revolutionize data for autonomous trucking. In this pivotal role, you will apply cutting-edge Neural Rendering techniques in a scalable production environment, shaping the future of perception simulation. Collaborate with diverse teams to enhance our data workflow and integrate advanced simulation methods. This role offers a unique opportunity to impact the development of automated freight solutions while working in a dynamic and inclusive environment. Join us to drive innovation in the autonomous driving space and elevate your career to new heights.
Montreal, Canada
About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Summary:
The Senior Machine Learning Engineer will shape the future of our data for autonomous trucking by contributing to our data driven perception simulation pipeline. In this role, you will be responsible for applying state of the art approaches for Neural Rendering in a scalable production setting, contribute to our data workflow and communicate with stakeholders such as machine learning and testing teams which rely on data from our simulation.
What you'll be doing:
What you need to succeed:
Bonus Points:
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.