Applied Intuition Inc.
Software Engineer - Synthetic Data & Annotations
Applied Intuition Inc., Mountain View, California, us, 94039
About the role
We are looking for a software engineer with expertise in computational geometry, simulation, and machine learning. As a software engineer focused on synthetic data and annotations, you’ll build systems to generate labeled data that is suitable for training a variety of machine learning systems. This position will join an existing team of engineers with expertise in computer vision, sensor modeling, rendering, and data infrastructure. At Applied Intuition, you will:
Design and implement core components of our sensor simulation and data generation pipeline Develop systems for programmatically generating ground-truth-labeled data from a simulated world Work with machine learning pipelines to understand and improve synthetic datasets Work with top autonomy companies to understand and solve unique challenges in perception with synthetic data We're looking for someone who has:
Strong software engineering skills in Python and C++ Competent skills & experience in computational geometry, linear algebra, optics, graphics, electro-optics, and physics Experience training perception models Familiarity with synthetic data and its applications in perception systems Nice to have:
Experience with applying synthetic data to machine learning tasks Detailed knowledge of game pipelines and Unreal Engine Hands-on experience with characterization of models for Lidar, Radar, and Camera
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We are looking for a software engineer with expertise in computational geometry, simulation, and machine learning. As a software engineer focused on synthetic data and annotations, you’ll build systems to generate labeled data that is suitable for training a variety of machine learning systems. This position will join an existing team of engineers with expertise in computer vision, sensor modeling, rendering, and data infrastructure. At Applied Intuition, you will:
Design and implement core components of our sensor simulation and data generation pipeline Develop systems for programmatically generating ground-truth-labeled data from a simulated world Work with machine learning pipelines to understand and improve synthetic datasets Work with top autonomy companies to understand and solve unique challenges in perception with synthetic data We're looking for someone who has:
Strong software engineering skills in Python and C++ Competent skills & experience in computational geometry, linear algebra, optics, graphics, electro-optics, and physics Experience training perception models Familiarity with synthetic data and its applications in perception systems Nice to have:
Experience with applying synthetic data to machine learning tasks Detailed knowledge of game pipelines and Unreal Engine Hands-on experience with characterization of models for Lidar, Radar, and Camera
#J-18808-Ljbffr