Senior Geospatial AI Engineer
(Full Time, Hybrid, US)
This is a fast paced career building full time opportunity working with large scale geospatial datasets and computer vision models with a strong impact focus. In this role, you will actively collaborate with the CTO and founding team.
Responsibilities
Work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will be using your deep knowledge of state of the art computer vision and machine learning to train and fine tune new and existing models on our proprietary and partner datasets.
Desired Qualifications
In order to set you up for success as a Senior Geospatial AI Engineer at Sust Global we look for the following skills and experience:
Proven knowledge and experience of Python or C++
Knowledge of machine learning and statistics
Proven experience with ML frameworks (e.g. pytorch, tensorflow)
Proven experience with large multimodal model training is highly desirable
Proven experience working in industry, working on projects from proof-of-concept through to workflows in production settings
Good understanding of state of the art computer vision research literature and models
Minimum Requirements
Degree in computer science, mathematics, applied stats, machine learning or similar experience working in industry
3-5 years of experience working on data heavy cloud-native software products. At least 2 years of industry experience with shipping ML models in production environments.
Available to work remote full time. Option to hybrid work out of our San Francisco office.
Authorized to work in the US.