Careers
Join our team
Our talented global team are always on the lookout for incredible talent to help us achieve our goals.
Our goal is to build the intelligent climate data solutions of the future. We work with the world’s largest investors, data platforms and consultancies, enabling them to assess the changing face of risk in a rapidly changing world.
Jobs at sust global
Are you excited to work at the forefront of climate tech, AI and the global economy? We’d love to hear from you.
Senior Geospatial AI Engineer (US)
(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.
Apply for the role by sending a copy of your resume to careers@sustglobal.com.
Data / Machine Learning Fellow (UK)
(Full Time, Hybrid, UK)
This is a fast paced opportunity working with large scale geospatial datasets with a strong climate impact focus. The Fellow will collaborate with the founding team and be mentored on climate data science by a senior data scientist.
Responsibilities
Work with large, complex geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. The Fellow will conduct end-to-end ML analysis that includes requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories and presentations.
Desired Qualifications
Data/ML: Experience working on computer vision, statistical inference, and multivariate analysis. Demonstrable experience in PyTorch or TensorFlow. Experience training ML models on large and noisy datasets is a plus. Experience with geospatial data (climate, weather, remote sensing) is a plus.
Tools: Experience building and training models in Python using cloud native workflows.
Social Good: Strong motivation on using the best data for social good and data driven storytelling. Prior experience writing technical blogs/articles, publishing scientific work.
Learning: Interested in working with a small team of experts building new capabilities in an agile fashion.
Minimum Requirements
Currently pursuing MS/PhD in a quantitative discipline, involving experimental design and data analysis.
At a minimum, available to work part time or full time for 10-16 weeks, ideally for a longer term. This is a remote work position, with the option to hybrid work out of our London offices.
Authorized to work in the UK.
Apply for the role by sending a copy of your resume to
Data / Machine Learning Fellow (US)
(Full Time, Hybrid, US)
This is a fast paced opportunity working with large scale geospatial datasets with a strong climate impact focus. The Fellow will collaborate with the founding team and be mentored on climate data science by a senior data scientist.
Responsibilities
Work with large, complex geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. The Fellow will conduct end-to-end ML analysis that includes requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories and presentations.
Desired Qualifications
Data/ML: Experience working on computer vision, statistical inference, and multivariate analysis. Demonstrable experience in PyTorch or TensorFlow. Experience training ML models on large and noisy datasets is a plus. Experience with geospatial data (climate, weather, remote sensing) is a plus.
Tools: Experience building and training models in Python using cloud native workflows.
Social Good: Strong motivation on using the best data for social good and data driven storytelling. Prior experience writing technical blogs/articles, publishing scientific work.
Learning: Interested in working with a small team of experts building new capabilities in an agile fashion.
Minimum Requirements
Currently pursuing MS/PhD in a quantitative discipline, involving experimental design and data analysis.
At a minimum, available to work part time or full time for 10-16 weeks, ideally for a longer term. This is a remote work position, with the option to hybrid work out of our San Francisco offices.
Authorized to work in the US.
Apply for the role by sending a copy of your resume to