Why Planet Reimagined
FY2024 · Form 990Its mission and biggest programs, as filedDevelops and scales creative climate solutions through action research and cultural influence.
- The common grounds program advances a bold, bipartisan solution to clean energy expansion by promoting the co-location of wind/solar on existing federal and state oil/gas lease land. Early-stage research and outreach prompted a bipartisan congressional letter, leading the department of…$387K spent in FY2024
- The new futures fellowship program trains and engages future climate leaders via the action research method through focused cohorts. In 2024, three thematic groups delivered tangible advocacy and research products: river delta communities (focused on restoration and policy in four…$105K spent in FY2024
- The amplify program pioneers mobilizing live event audiences for policy-focused climate action. Key accomplishments include implementing the methodology during the ajr nationwide tour, resulting in 35,000 fan actions across 21 cities. The tour made table space available for local organizations…$103K spent in FY2024
Before you apply
FY2024 · Form 990Independent: from IRS data, not the orgAbout the role
The org's own posting, as writtenTop Level Summary Planet Reimagined is seeking a Machine Learning Engineer / Data Scientist to design and build cutting-edge data systems that accelerate climate solutions across local and federal scales. Join our mission-driven team building one of the world's first ML systems for hyper-local policy analysis and recommendations. You'll design, train, and deploy models, and build the knowledge graphs, wikis, and other structured datasets behind them, to identify successful climate interventions, predict how they adapt to new contexts, and optimize renewable energy deployment from city councils to federal land management.
About Planet Reimagined Founded by a multi-platinum musician and a UN advocate, Planet Reimagined was built on the belief that big change happens when people act together and when that action drives shifts in policy and industry. On a mission to deliver fair solutions for people and the planet, we use an innovative action research method to incubate and scale creative solutions to our most pressing climate problems. We mobilize fans at concerts to take real-time civic action, and we help renewable energy companies access public lands once closed to them. From legislative wins to global campaigns, we turn bold ideas into action. And we’re just getting started.
About the Role
Join a team of creative problem-solvers dedicated to advancing global climate solutions. The Machine Learning Engineer / Data Scientist will build the data infrastructure powering insights for climate policy, renewable energy optimization, and scalable climate interventions. This role will work at the intersection of data engineering, AI/ML, and climate policy, developing tools to help communities and governments replicate successful climate solutions.
Responsibilities
Knowledge Systems & LLMs Build LLM-powered knowledge graphs, wikis, and other structured datasets from policy documents, municipal records, community sentiment, and federal energy data, along with the human-readable layers rendered from them.
Develop LLM and NLP pipelines that extract policy elements, resolve entities, and link them across sources Track data provenance so every policy element traces back to its source document, passage, and extraction method Design human-in-the-loop workflows where policy experts validate extracted policy elements, and their corrections improve the models, scripts, and prompts Construct policy timelines by extracting and ordering events to show how climate solutions unfold over time Machine Learning & Modeling Design, train, and deploy models for policy effectiveness scoring, solution replicability, and energy development potential Build recommendation and graph-based models that match proven climate policies to a specific city, county, or community Own the full modeling lifecycle: baselines, feature engineering, model selection, tuning, and error analysis Develop evaluation frameworks to measure model, extraction, and LLM output quality against…
About Planet Reimagined
From its Form 990- Budget $1.7M · Environment
- Staff 4
- Pays its leaders $77K (1 reported)
- Open jobs 1 · Jobs at Planet Reimagined · Full 990 report