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.
Meet the team
Torc's Autonomy Applications software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions. We are actively seeking highly experienced ML 1 to join our model development department. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI.
What you'll do
Develop learned ISP systems
Design and train learned ISP systems
Analyze and debug ISP systems
Apply data science to evaluate raw sensor and ISP processed data
Contribute to framework and infrastructure for our ISP stack
Develop efficient pipelines for large-scale data pre-processing and analysis.
Implement data augmentation, synthetic data generation, and domain adaptation strategies to improve model robustness.
Cross-functional Collaboration
Collaborate with robotics, software, and simulation engineering teams to ensure seamless integration of our ISP stack.
Work with product and operations teams to define performance metrics and improve system reliability.
What you’ll need to Succeed
Master's degree with 2-3+ years of experience or PhD level education (in progress PhD is accepted)
Scientific understanding of ISPs particularly learned ISPs.
Scientific understanding of machine learning for at least one of the following
3D BEV space modeling
Actor prediction
Learned trajectory planning
Autonomous driving end to end modeling
Multimodal multitask machine learning
Calibration, odometry, localization
Object Detection & Tracking
Experience with understanding data distributions and analyzing long tail distributions
Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards
Bonus points!
Proficiency with Ray.
Scientific contributions in the field of (learned) ISPs
