Machine Learning, Software Engineer

About this role

#### Position Overview

As a Machine Learning Software Engineer at REsurety, you’ll be a technical leader responsible for the architecture, maintenance, and rigorous validation of the models and tools that power REsurety’s core business. At the Staff level, you are an expert practitioner and a strategic thinker. You will lead the development of sophisticated software that characterizes risk and accelerates the global development of clean energy, serving as a bridge between research, power markets, and production-grade engineering.

This is a senior individual contributor role focused on technical leadership, system design, and cross-functional influence, not people management.

###### Key Responsibilities

- Technical & Architectural Leadership
- - Own the end-to-end design and implementation of large-scale data and modeling applications, from ingestion and storage through modeling, validation, and production deployment.
- Design systems that are modular, testable, and performant at scale, setting standards for code quality, security, and reliability across the organization.
- Lead schema and data-model design in Snowflake and Postgres to support massive, evolving meteorological and power market datasets.
- Establish and advocate for best practices in automated testing (unit, integration, data validation) for analytical and modeling workflows.
- Advanced Time-Series Modeling & Research
- Drive the development and evolution of time-series forecasting models in Python for energy prices, emissions, and load.
- - Lead the evaluation, validation, and integration of new and complex data sources into production modeling systems.
- Partner with research, power markets, product, and engineering to translate exploratory analyses into robust, production-ready systems.
- Conduct deep-dive analyses into complex datasets (e.g., transmission constraints, solar irradiance, weather-driven dynamics) to surface market insights and modeling improvements.
- Technical...