Computer Vision Researcher
overview
We are looking for an experienced computer vision researcher to lead the development of AI models for the energy sector.
Responsibilities:
As an Engineering Leader, you're responsible for developing the concepts of new products while supporting the growth of current products
You will help define our growth strategy while working with Product Managers and cross-functional teams to align the strategy, process, and execution of the product roadmap
You will play an active part in measuring and overseeing the quality and experience of the product while maintaining agility
Push the state-of-the-art on standard computer vision tasks for understanding documents across the energy sector
Develop the infrastructure for training and deploying models, including massive data pipelines, experiment management platforms, visualization tools
Improve runtime efficiency of models for deployment
Own data assets and annotation efforts
requirements
Master's degree in computer science, artificial intelligence, machine learning, or a related technical field.
2+ years of experience in computer vision research and applications.
Research background in Computer Vision, Deep Learning, Machine Learning, or related field(s).
Experience in theoretical and empirical research and in addressing research problems.
Experience in deep learning frameworks such as PyTorch or TensorFlow.
Experience developing and debugging in Python.
Experience with OpenCV or similar.
extra credit
Experience with OCR research and production systems for enterprise applications
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at conferences such as CVPR, ECCV, ICCV, ICML, NeurIPS, SIGGRAPH, or similar.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
Experience working and communicating cross functionally in a team environment.
additional information
Hybrid - In-office (Tue, Wed, Thur), Flex (Mon, Fri)
Paris, NYC, Calgary
Compensation commensurate with experience