(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.ResponsibilitiesWork 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 QualificationsProven 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 RequirementsDegree 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.Apply for the role by sending a copy of your resume to careers@sustglobal.com.