Implement deep-learning-based classification systems for construction.
Explore and develop new methods for improving detection performance and improving the runtime of inference.
Work with internal customers to develop machine learning pipelines for computer vision-based classification tasks.
Help to architect and develop the data pipeline and platform supporting machine learning.
May work remotely; periodic time in office required; must live within commuting distance of the office.

Qualifications

Master's degree in Machine Learning and Robotics or related field or foreign academic equivalent
2 years of related experience
Required skills: Research and develop Deep Learning models for depth estimation, object classification, and scene segmentation for large-scale datasets (2 years)
Experience working with Python and Deep learning frameworks including Pytorch, TensorRT, Pandas (2 years)
Experience working with model hyperparameter optimization and loss function tuning to improve performance (2 years)
Comfortable working with large-scale GPU cloud computing/infrastructure for training deep learning models (2 years)
Has explored methods (new model architectures, quantization, ablation study) to optimize model inference time on embedded devices (2 years)
Architect and develop data processing and annotation pipelines for training models (2 years)
Formulate ML metrics and evaluate models for robotics tasks (2 years)

Full time. $154,000 - $275,000/year. Please visit https://bluerivertechnology.com/join-us/ to apply.

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