Oakland, CA, United States
As our Software Engineer, Data, youâll be the third 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.
Itâs well known that fossil fuel emissions are the largest single driver of climate change. 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 âeyes in the skyâ to help ensure that power plant emissions have nowhere to hide.
ABOUT THE WORK
- Maintain and extend a Python-based data pipeline for an AI framework that ultimately estimates power plant emissions based on satellite imagery, atmospheric chemistry datasets and real-time grid operations.
- Collaborate and solve problems with a diverse team of analysts, engineers and project managers from WattTime, Google and partners.
- Execute sound judgement and critical thinking.
- BS, MS in engineering, mathematics, statistics, or a related technical field preferred, or equivalent experience.
- 1-3 years of work experience in software development or data engineering.
- Familiarity with synthesizing data from multiple sources, including data cleaning and deduplication, Python and its associated data toolset (i.e. Pandas), working with databases, and cloud computing tools.
- Experience working with large datasets and cloud platforms such as GCP a plus.
- Highly motivated, collaborative, action-oriented, confident, and respectful.
- Adept at learning new skills and collaborating with others.
- Strong organizational skills and attention to detail.
- Bonus points: Prior experience working with satellite imagery, power grid, emissions and/ or energy data.
- WattTime headquarters in Oakland, CA. Remote location available for this role.
- Work hours must be compatible with a mix of U.S. timezones and GMT.
Source: Python.org Jobs Feed