Remote ML Engineer: Climate Policy & Energy

Planet Reimagined; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Planet Reimagined is seeking a Machine Learning Engineer / Data Scientist to design, train, and deploy ML systems that accelerate climate solutions at local and federal scales. You will build data infrastructure powering insights for policy, renewable energy optimization, and scalable climate interventions, working at the intersection of data engineering, AI/ML, and climate policy.

You will own the full modeling lifecycle, develop LLM-augmented knowledge graphs, and ensure data provenance from

Qualifications

• Proficiency in Python and SQL for data pipelines and model development.
• Experience building knowledge systems for LLM-based applications.
• Hands-on with unstructured data sources and data governance.
• Strong communication for cross-functional collaboration with policy experts and stakeholders.

Responsibilities

• Build LLM-powered knowledge graphs and datasets from policy sources.
• Develop NLP pipelines to extract and link policy elements across sources.
• Design human-in-the-loop workflows for policy validation and model improvement.
• Create policy timelines and track data provenance for traceability.
• Develop models for policy effectiveness scoring and energy development potential.

Skills

Python

SQL

LLM applications

Data engineering

Communication

Tools

BigQuery

Pandas

NumPy

dbt

Apache Beam/Dataflow

Job description

Planet Reimagined is seeking a Machine Learning Engineer / Data Scientist to design, train, and deploy ML systems that accelerate climate solutions at local and federal scales. You will build data infrastructure powering insights for policy, renewable energy optimization, and scalable climate interventions, working at the intersection of data engineering, AI/ML, and climate policy.

You will own the full modeling lifecycle, develop LLM-augmented knowledge graphs, and ensure data provenance from