At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business, and we are focused solely on developing software for automated trucks to transform how the world moves freight.
Requirements
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- 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
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- Mastery of Python and PyTorch, with the ability to transition research level code to production and deployment ready standards
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- Experience with understanding data distributions and analyzing long tail distributions
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- Proficient in writing CUDA kernels and developing custom PyTorch operations
Responsibilities
- Develop and optimize behavior level ML models
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- Implement model-architectures for Agent Prediction and Ego Motion Planning.
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- Perform fine-tuning of ML models for motion prediction and planning.
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- Develop metrics and evaluation pipelines related to the motion prediction and planning tasks.
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- Utilizing data science techniques to analyze model performance, data distributions, and identify corner cases.
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- Collaborating with conversion and deployment teams to ensure seamless integration.
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- Deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency.
Other
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- Bachelor's degree in computer science, data science, artificial intelligence or related field with 5+ years of professional experience or a master's degree with 2-3+ years of experience
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- PhD in machine learning or data science
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- Travel requirements not specified
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- Clearance requirements not specified
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- Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of motion prediction and planning systems
