On-site Data, AI & Machine Learning Climate Jobs

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On site 📊 Data, AI & Machine Learning

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Xcimer Energy

Posted 11th September · Still online today

Data Engineer

Builds and maintains data pipelines and integrations across engineering, manufacturing, procurement, and business systems. Develops dashboards, monitoring, automation, governance documentation, and decision-support tools that improve operational efficiency for a fusion-energy company advancing clean power and decarbonization.

Denver, CO On site 📊 Data, AI & Machine Learning $125K - $160K

Unravel Carbon

Posted 27th August · Still online 5th October

Machine Learning Engineer

Build and productionize LLM-powered systems and AI agents that automate emissions calculations, extract insights from invoices/utility bills/supply-chain documents, and generate sustainability reports. Maintain and improve a multi-model carbon engine using large transactional datasets and emission-factor datasets, design scalable ML services on AWS, implement evaluation and guardrails for LLMs, and surface automated decarbonization recommendations for customers.

Singapore, Singapore On site 📊 Data, AI & Machine Learning

Rainmaker

Posted 17th August · Still online today

Machine Learning Researcher

Identify and prioritize high-value ML problems across research and operations, build working prototypes, and deliver operational models that improve atmospheric-state estimation, forecasting of supercooled liquid water, retrievals, and intervention analysis. Combine multimodal data (radar, satellite, UAS, in-situ, NWP) to create datasets, baselines, uncertainty-aware evaluations, and productionizable prototypes while collaborating closely with meteorologists, engineers, and operators. Rapidly move from experiments to usable models, characterizing calibration, failure modes, and operational value to inform repeated field campaigns and interventions.

El Segundo, CA On site 📊 Data, AI & Machine Learning $160K - $220K

Rainmaker

Posted 17th August · Still online today

Rainmaker Fellow, Machine Learning

Develops and evaluates machine-learning models and reproducible datasets from sensor, radar, satellite and NWP data to address atmospheric forecasting, retrieval, and operational decision problems for precipitation-enhancement programs. Builds baselines, trains and validates models with attention to calibration, uncertainty, and failure modes, works closely with atmospheric scientists to define targets and physical constraints, and delivers durable artifacts such as benchmark datasets, prototype models, evaluation reports, or research papers.

El Segundo, CA On site 📊 Data, AI & Machine Learning $96K+

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