Remote Sensing Scientist and Machine Learning and Computer Vision Specialist

  • Full Time
  • Anywhere

Cloud to Street is hiring <>

Cloud to Street is a remote sensing platform that dynamically monitors
floods around the world and analyzes
local flood risk in a web dashboard at a fraction of the cost and time
of traditional modeling. Our mission is to ensure that all vulnerable
communities have the data they need to prepare and respond by reducing
the scientific barrier to disaster information.
Our systems will power flood insurance for 10 million new customers and
provide actionable risk data for the 100 most vulnerable watersheds
around the world

within 5 years. Currently, we are supporting near real time flood
monitoring and potential refugee relocation in the Republic of Congo
in conjunction with the World Food Programme.

We are hiring for two positions

1. a remote sensing scientist with radar expertise to lead algorithm
development for
flood detection with high-resolution imaging radar, with a focus on
urban areas.
In addition to algorithm development, this person will provide technical
support to project stakeholders, help develop project proposals,
assist with online user tool development in conjunction with our current
climatology and remote sensing scientists.

2. a
machine learning and computer vision specialist to improve our flood
maps. This person will lead the development and deployment of ML models.
She or he will
work closely with staff remote sensing scientists and the climatologist
to build integrated decision-making tools from multiple sensors and data
sources. This is an opportunity where we have a specific machine
learning/computer vision problem with immediate
implications for humanitarian aid and decision-making, and with room for
creativity for finding the best solution regardless of approach (e.g.,
classification and regression trees, convolutional neural networks, etc.).

HOW TO APPLY Applicants are requested to send their submissions to
<> with: 1. Subject line: Radar Remote Sensing
Scientist, CLOUD TO STREET OR Machine Learning Data Consultant, CLOUD TO
STREET 2. Relevant publications or other scientific work 3. Attached
CV/Resume 4. Paragraph expressing interest
within the submission email APPLICATION DEADLINE: Applications will be
reviewed until January 31, with the intent to start the right candidate
in February. Cloud to Street is committed to building an inclusive and
diverse company. Women and people of
color are especially encouraged to apply.

To apply for this job email your details to