Machine Learning Model Evaluation Engineer (Computer Vision)

We are scaling our AI team with mission-driven individuals eager to shape the future of mobility. As a Machine Learning Model Evaluation Engineer (Computer Vision), youll collaborate closely with our research team to design, build, and optimize data infrastructure and annotation workflows. You will be the focal point between the team and the annotation team, ensuring high-quality labeled data and efficient processes. Additionally, you will help optimize our algorithms, analyze performance metrics, and define optimal operating points to enhance model effectiveness. Your work will directly contribute to pushing the boundaries of Vision AI and advancing our cutting-edge projects.

RESPONSIBILITIES

Model Evaluation
Work closely with the research team to evaluate model performance and define optimal operating points using precision, recall, and other ML evaluation metrics.
Annotation Management
Be the focal point for annotation processes to ensure high-quality labeled data and streamlined workflows.
Database Management
Manage and maintain internal research databases for data-driven decision-making.
Cloud Infrastructure
Develop, maintain, and optimize cloud-based data infrastructure (AWS, GCP).
Benchmarking Framework
Build and maintain a benchmarking framework for continuous algorithm performance evaluation, including human-in-the-loop pipelines.
Dataset Curation
Curate training and testing datasets by querying databases and annotations, and by running data quality and auto-labelling tools.
Model Execution
Run algorithms and deep-learning models at scale.