As our Machine Learning Engineer, you’ll be the second member of a team tasked with estimating power plant emissions around the globe. This radical project is part of the Google AI Impact Challenge, a prestigious, action-oriented collaboration between Google AI, Google.org, WattTime, and other notable partners. The impact of this work has already caught the attention of Bloomberg, CleanTechnica, Grist and Vox.
It’s well known that fossil fuel emissions are the largest single driver of climate change, but less talked about are the millions of deaths each year from air pollution exposure. Although a few wealthy countries today currently track emissions with expensive continuous emissions monitoring systems, the vast majority of power plants worldwide are not continuously tracked, complicating environmental regulation and making advanced GHG control techniques impossible.
Our solution will combine different types of satellite imagery, as well as atmospheric chemistry datasets and real-time grid operations to replace expensive, on-site power plant sensors with a global monitoring platform. With significant amounts of pollution going unreported, this work will combine a variety of different inputs, ML algorithms and AI techniques into a single project; satellite images will provide “eyes in the sky” to help ensure that power plant emissions have nowhere to hide.
The project is significantly underway: we have completed a proof of concept, established a working relationship with our incredible partners, and engaged in user outreach. Nonetheless, this role will require an entrepreneurial mindset in addition to world-class ML and AI expertise.
ABOUT THE WORK
WattTime is a nonprofit with a software tech startup DNA, dedicated to giving everyone everywhere the power to choose clean energy. We invented Automated Emissions Reduction (AER), which allows utilities, IoT device and energy storage companies, and any end user to effortlessly reduce emissions from energy, when and where they happen. Our cutting-edge insights and algorithms, coupled with machine learning, can shift the timing of flexible electricity use to sync with times of cleaner energy and avoid times of dirtier energy. We sell solutions that make it easy for anyone to achieve emissions reductions without compromising cost and user experience. WattTime was founded by PhD researchers from the University of California, Berkeley, and in 2017 became a subsidiary of Rocky Mountain Institute.
WORKING WITH WATTTIME
We are practical, results-driven change makers. We believe nothing has more potential for fast, world-changing impact, than software. We embrace change. We are lean and rapid prototypers. We never confuse growth with impact. We are all personally, fiercely committed to our mission. We are quietly radical in unexpected ways. We have allies, not competitors. Our band of expert volunteers helps us punch above our weight class. We trust in data and everyone’s voice being heard. We know diversity is central to success. We consider respect non-negotiable: there are no jerks here.
Unlike most start-ups, our team is backed by a host of more than 200 volunteers who contributed to our founding and are happy to support us in terms of advice, networking and perspective. We also sit within the RMI family which brings additional upside in terms of support, industry connections and credibility.
WattTime is an Equal Opportunity Employer (EOE) and does not discriminate on the basis of race, gender, disability, or sexual orientation or classification.