✨ About The Role
- As a Staff ML Engineer in Video Analytics, you will research and develop models and algorithms for decoding video evidence.
- The role involves collaborating with product managers and embedded ML teams to understand project requirements and runtime constraints.
- You will be responsible for finding available data to start model development and developing initial models with evaluation results.
- The position requires continuous literature review to determine the best approaches for model development.
- You will create active learning pipelines and tools to incorporate new data into modeling datasets and iteratively retrain models to track performance improvements.
âš¡ Requirements
- The ideal candidate will have a strong background in machine learning, deep learning, and computer vision, with at least 7 years of industry experience.
- A proven track record of developing and maintaining end-to-end machine learning production processes is essential for success in this role.
- Strong programming skills in Python are required, particularly in writing models, algorithms, libraries, and services.
- Candidates should possess strong project management skills, with the ability to break down work into manageable tasks and provide regular updates to stakeholders.
- Familiarity with SQL and basic knowledge of git and bash is also necessary for this position.