6 of 6 Model Validation Jobs in the North East

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

Job Description Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Concord, NC three times per week, at minimum. Given the need to support some live race events during weekends, this role More ❯

AI system development. Strong programming skills in Python and C++. Experience with real-time video pipelines, particularly GStreamer and FFmpeg. Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets). Demonstrated ability to apply the right computer vision techniques and critically evaluate their More ❯

AI system development. Strong programming skills in Python and C++. Experience with real-time video pipelines, particularly GStreamer and FFmpeg. Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets). Demonstrated ability to apply the right computer vision techniques and critically evaluate their More ❯

AI system development. Strong programming skills in Python and C++. Experience with real-time video pipelines, particularly GStreamer and FFmpeg. Solid understanding of AI model training concepts (e.g., epochs, hyperparameters, training/validation datasets). Demonstrated ability to apply the right computer vision techniques and critically evaluate their More ❯

new system Design and integrate new functionality into an existing sub-system in Simulink Collaborate with other engineers to design and prototype a detailed model of a system to understand observed simulated performance Design and prototype algorithms in Matlab, taking into account hardware limitations and constraints. Investigate the cause … if you have experience in any of the following areas: Systems Engineering specialisms, e.g. Problem definition Systems Architecture Synthetic Environments Performance Modelling Verification and Validation System of Systems Domain specialisms, e.g. Digital signal processing RF systems Multi-sensor data fusion and tracking Real time data simulation/generation Security More ❯