Title and Location: Sr. Machine Learning Engineer in Santa Clara, CA.
Job Responsibilities
- 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.
#LI-DNI
