✨ About The Role
- As a Staff ML Engineer, Object Detection, you will be responsible for the design, training, evaluation, and management of detection models used in Flock's LPR and Video devices.
- The role requires handling various environments, lens configurations, and fields of view while adhering to power constraints and hardware limitations.
- You will collaborate with leadership on dataset strategies and propose experiments to enhance object detection capabilities.
- The position involves improving model performance evaluations and training metrics to ensure optimal performance.
- You will be expected to communicate across multiple teams to solve complex problems and achieve project goals.
âš¡ Requirements
- The ideal candidate will have over 5 years of industry experience in Machine Learning, specifically focusing on Object Detection or related Computer Vision Deep Learning modeling.
- Strong proficiency in PyTorch and/or TensorFlow is essential for training deep learning models effectively.
- A deep understanding of various Deep Learning model concepts, including convolutional networks and transformers, is crucial for success in this role.
- Candidates should possess strong software engineering skills in Python and have experience with SQL.
- Familiarity with tuning and optimizing models for IoT devices will be beneficial for this position.