Torc is focused on developing software for automated trucks to transform how the world moves freight, and is seeking senior machine learning engineers to develop cutting-edge deep learning models for their autonomy applications.
Requirements
- 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
- Vision, lidar and radar-based object detection and classification
- Pixel – level processing tasks like depth estimation, segmentation, etc.
Responsibilities
- Develop and optimize computer vision, lidar and radar-based ML models
- Implementing monocular and stereo depth estimation algorithms.
- Comprehending objects, lanes, obstacles, and weather conditions within the driving environment.
- Enhance perception systems to process multi-modal sensor data effectively.
- Utilizing data science techniques to analyze model performance, data distributions, and identify corner cases.
- Design and implement deep learning models for object detection, semantic segmentation, and voxel grid occupancy in BEV frameworks.
- Integrate BEV representations into end-to-end planning and control pipelines.
Other
- Bachelor's degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a master's degree with 4+ years of experience
- Contribute to the model development roadmap and providing strategic advice to technical leadership.
- Mentoring and guiding junior team members to enhance their technical skills and career growth.
- Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of perception systems.
- Work with product and operations teams to define performance metrics and improve system reliability.
