Develop machine learning models for object detection, segmentation, tracking, & scene understanding. Work with sensor data to build robust perception pipelines. Analyze datasets for model training, validation, and testing. Design scalable training & evaluation pipelines. Collaborate with cross-functional teams to integrate perception modules. Perform error analysis.
Must have a Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, or similar, + 18 months of experience as a Machine Learning Engineer or an Autonomy Engineer for robotics at a technology company, with 1 year of experience using C++, Python, CUDA, & deep neural network packages (PyTorch, ONNX, TensorRT).
Salary Offered is $149,365 - $232,925/yr. Please send resumes to Applied Intuition, Inc. online at https://tinyurl.com/AppliedJob40.
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