C++ AI Jobs

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As a software engineer on the perception mapping team, you will curate, validate, and label datasets for model training and validation. You will research, implement, and train machine learning models to perform semantic map element detection. You will closely collaborate with validation teams to formulate and execute model validation pipelines and integrate models into the greater onboard autonomy system within compute budgets. Additionally, you will act as a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions.

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As a Senior Machine Learning Engineer for ML Agents and Planning, you will develop new deep learning models using imitation learning and reinforcement learning to generate driving plans for human-like agents. You will work on novel techniques to estimate the quality of driving plans in terms of safety, progress, comfort, and realism. You will contribute to large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field. Additionally, you will develop metrics and tools to analyze errors and understand improvements of the systems. Collaboration with engineers on Perception, Planning, Simulation, and Validation teams will be essential to address the overall Autonomous Driving problem.

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The role involves defining on-vehicle architecture for producing core tracking results from the Perception stack, working with both the model teams and optimization teams to develop a highly performant and efficient system that can run on vehicle, working with Perception data both on the input and output of machine learned models, and taking tracking output to integrate this into the larger behavioral system in the Autonomy stack.

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Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.

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As a Senior AI Research Scientist for Vision-guided robotics, you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Your responsibilities include exploring the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments, creating models that integrate visual data to guide physical manipulation beyond simple grasping, and collaborating with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. You will research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios, design algorithms for manipulating complex or deformable objects with high precision, collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware, evaluate model performance in both simulation and real-world environments for robustness and reliability, identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems, mentor junior researchers, and contribute to the technical direction of the manipulation research roadmap.

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As a Senior AI Research Scientist for Vision-guided robotics at Intrinsic, you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications. Responsibilities include researching and developing deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios, designing algorithms for robots to manipulate complex or deformable objects with high precision, collaborating with software engineers to optimize and deploy research prototypes onto robotic hardware, evaluating model performance in simulation and real-world environments to ensure robustness and reliability, identifying opportunities to apply state-of-the-art advancements in computer vision and robot learning to industrial problems, mentoring junior researchers, and contributing to the technical direction of the manipulation research roadmap.

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The Senior AI Research Scientist for Vision-guided robotics is responsible for leading the research and development of novel deep learning algorithms to enable robots to perform complex, contact-rich manipulation tasks. The role involves exploring the intersection of computer vision and robotic control by designing systems that integrate visual data to guide physical manipulation beyond simple grasping to sophisticated handling of diverse items. Responsibilities include collaborating with a multidisciplinary team to translate concepts into deployable capabilities on physical industrial robotic hardware, researching and developing deep learning architectures for visual perception and sensorimotor control, designing algorithms for precise manipulation of complex or deformable objects, optimizing and deploying research prototypes onto robotic hardware, evaluating model performance in both simulation and real-world settings to ensure robustness, identifying applications of advanced computer vision and robot learning to industrial problems, mentoring junior researchers, and contributing to the technical direction of the manipulation research roadmap.

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As a Senior AI Research Scientist for Vision-guided robotics, you will lead the research and development of novel deep learning algorithms enabling robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work includes creating models that integrate visual data to guide physical manipulation beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Responsibilities also include researching and developing deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios, designing algorithms for precise manipulation of complex or deformable objects, collaborating with engineers to optimize and deploy prototypes on robotic hardware, evaluating model performance in simulation and real-world environments, identifying practical applications of advancements in computer vision and robot learning, mentoring junior researchers, and contributing to the technical direction of the manipulation research roadmap.

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As a Senior AI Research Scientist for Vision-guided robotics, you will lead the research and development of novel deep learning algorithms enabling robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems for robots to perceive and interact with objects in dynamic environments, creating models that integrate visual data to guide physical manipulation beyond simple grasping. Collaborating with a multidisciplinary team, you'll translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. You will research and develop deep learning architectures for visual perception and sensorimotor control, design algorithms for manipulation of complex or deformable objects with high precision, collaborate with software engineers to optimize and deploy prototypes onto robotic hardware, evaluate model performance in simulations and real-world environments to ensure robustness, identify opportunities to apply advancements in computer vision and robot learning to industrial problems, and mentor junior researchers contributing to the technical direction of the manipulation research roadmap.

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Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks, exploring the intersection of computer vision and robotic control to design systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms enabling robots to manipulate complex or deformable objects with high precision. Work with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.