Torc Robotics, Inc.
Machine Learning Engineer II – Behaviors, Prediction, & Planning New Ann Arbor,
Torc Robotics, Inc., Ann Arbor, Michigan, us, 48113
Overview
Torc is committed to developing software for automated trucks to transform how the world moves freight. A leader in autonomous driving since 2007, Torc joined the Daimler family and focuses on software for automated trucks to enable freight modernization. Meet the team: Torc's Autonomy Applications software uses cutting-edge deep learning techniques to perceive the vehicle’s environment, predict the movements of other vehicles, and execute accurate driving decisions. We are seeking highly experienced senior machine learning engineers to join our model development department and have a significant impact on the future of the autonomous vehicle industry by leveraging AI. What you will do
Develop and optimize behavior level ML models. Implement model architectures for Agent Prediction and Ego Motion Planning. Fine-tune ML models for motion prediction and planning. Develop metrics and evaluation pipelines related to motion prediction and planning tasks. Utilize data science techniques to analyze model performance, data distributions, and identify corner cases. Contribute to framework and infrastructure for behavior level ML models. 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. Contribute toward behavior simulation infrastructure. Model Deployment and Optimization. Collaborate with conversion and deployment teams to ensure seamless integration. Deploy ML models on edge devices, ensuring real-time performance and resource efficiency. Optimize inference pipelines for embedded and automotive-grade hardware platforms. Cross-functional Collaboration. Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of motion prediction and planning systems. Work with product and operations teams to define performance metrics and improve system reliability. What you’ll need to succeed
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 Scientific understanding of machine learning for 3D BEV space modeling, learned trajectory planning, autonomous driving end-to-end modeling, or multimodal multitask ML 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 PhD in machine learning or data science (optional depending on the candidate pool) Proficiency with Ray Proficiency with Hydra Proficient in writing CUDA kernels and developing custom PyTorch operations At Torc, we’re committed to building a diverse and inclusive workplace and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, veteran status, or disabilities. We encourage you to apply even if you do not meet 100% of the qualifications. Hiring information
US Pay Range : $134,800 - $202,200 USD Job ID : 102374
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Torc is committed to developing software for automated trucks to transform how the world moves freight. A leader in autonomous driving since 2007, Torc joined the Daimler family and focuses on software for automated trucks to enable freight modernization. Meet the team: Torc's Autonomy Applications software uses cutting-edge deep learning techniques to perceive the vehicle’s environment, predict the movements of other vehicles, and execute accurate driving decisions. We are seeking highly experienced senior machine learning engineers to join our model development department and have a significant impact on the future of the autonomous vehicle industry by leveraging AI. What you will do
Develop and optimize behavior level ML models. Implement model architectures for Agent Prediction and Ego Motion Planning. Fine-tune ML models for motion prediction and planning. Develop metrics and evaluation pipelines related to motion prediction and planning tasks. Utilize data science techniques to analyze model performance, data distributions, and identify corner cases. Contribute to framework and infrastructure for behavior level ML models. 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. Contribute toward behavior simulation infrastructure. Model Deployment and Optimization. Collaborate with conversion and deployment teams to ensure seamless integration. Deploy ML models on edge devices, ensuring real-time performance and resource efficiency. Optimize inference pipelines for embedded and automotive-grade hardware platforms. Cross-functional Collaboration. Collaborate with robotics, software, and hardware engineering teams to ensure seamless integration of motion prediction and planning systems. Work with product and operations teams to define performance metrics and improve system reliability. What you’ll need to succeed
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 Scientific understanding of machine learning for 3D BEV space modeling, learned trajectory planning, autonomous driving end-to-end modeling, or multimodal multitask ML 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 PhD in machine learning or data science (optional depending on the candidate pool) Proficiency with Ray Proficiency with Hydra Proficient in writing CUDA kernels and developing custom PyTorch operations At Torc, we’re committed to building a diverse and inclusive workplace and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, veteran status, or disabilities. We encourage you to apply even if you do not meet 100% of the qualifications. Hiring information
US Pay Range : $134,800 - $202,200 USD Job ID : 102374
#J-18808-Ljbffr