Perennial is a climate tech company on a mission to revolutionize the way the world approaches regenerative agriculture through the power of AI and remote sensing. Globally, soils are recognized by the Intergovernmental Panel on Climate Change (IPCC) as one of the largest, fastest potential methods of mitigating climate change by drawing down 3-5 billion metric tons per year of carbon dioxide from the atmosphere. Perennial is scaling up the agriculture industry’s ability to fulfill that potential by providing purpose-built software and scalable measurement & verification technology that helps our customers incentivize regenerative agriculture globally. Our flagship product is the world’s most advanced remote measurement technology for soil carbon sequestration and emissions, which fuses machine learning, ground observations, and satellite data to map soil carbon content from field to continent scale.
We’ve raised $25M+ to date from leading investors including Temasek, Bloomberg, and the Microsoft Climate Innovation Fund, and we serve customers throughout the regenerative agriculture value chain. At Perennial, you will work in a mission-driven and collaborative environment alongside a diverse team with backgrounds spanning science, technology, carbon markets, and agriculture.
Our headquarters are located in Boulder, CO USA. We are a fully-flexible company for remote and hybrid work.
As an Engineering Manager (Machine Learning), you will be responsible for guiding and leading a talented team of data scientists and ML engineers. This is a tech lead manager role focused on building and improving state-of-the-art geospatial ML workflows, infrastructure, and tooling. You will have the opportunity to work on cutting-edge technology that is revolutionizing the way companies measure and report the climate impacts of global agriculture.
You will work closely with our product, engineering and data science teams to gather requirements and plan out improvements on our current work streams to better enable data science research as well as building infrastructure for delivering relevant data and model results to our customers.
We are looking for someone who is passionate about making a positive impact on the world and is excited about the opportunity to work on a mission-driven team. If you are someone who thrives in a collaborative and fast-paced environment and is eager to take on new challenges, we would love to hear from you!
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