Company description
At Aetherfield, we build software that empowers companies to lead with climate accountability. Our platform helps sustainability and operations teams make sense of complex environmental data—transforming emissions, waste, and energy metrics into measurable, meaningful action.
About the role
As an AI Infrastructure Engineer, you will build the foundational architecture that allows our predictive models to scale. You will work closely with data scientists to optimize algorithms for processing massive global climate datasets, ensuring our platform delivers real-time, accurate intelligence to enterprise boards.
Requirements
- 4+ years in software engineering with a focus on machine learning operations (MLOps)
- Proficiency in Python, cloud infrastructure (AWS/GCP), and containerization
- Experience scaling AI models in production environments
- Deep understanding of AI-native systems and capital architecture
- Passion for solving real-world problems with purpose and precision
Company benefits
- Competitive salary and equity options
- Flexible, hybrid work environment
- Generous PTO and paid volunteer days
- Annual sustainability stipend
- Team offsites and climate-focused retreats