Machine Learning, Software Engineer

Location: Boston, MA

Department: Engineering

About REsurety

Company Overview

REsurety is the leading provider of data, software, and services to the clean energy economy and operates the only transactional marketplace for clean power. Trusted by the industry’s leading buyers, sellers, and investors, REsurety’s proprietary data models, powerful technology platforms, and deep domain expertise empower confident, impactful decision-making and efficient, effective portfolio management.

We are a small team with a big impact! Our culture is open and collaborative. We expect excellence from our team members and reward it with high ownership and flexibility. If you’re a high-achiever with a passion for clean energy, we want to hear from you.

Company Values and Principles

At REsurety, we value the skills of execution, creativity & ownership, commercial focus, and teamwork, and we help and encourage all team members to develop these skills while at REsurety.

Our values also shape our culture and act as the foundation for our principles. Like all great companies, we strive to hire the best and are committed to building a diverse, inclusive company where team members feel engaged, valued, and supported. What is special about REsurety, though, is how much we:

• Share information openly, broadly, and deliberately with each other;
• Encourage ownership by all team members;
• Provide continuous, constructive feedback; and
• Empower all team members to bring their full, authentic selves to work.

About the Company

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 Mentorship & Influence
• • Provide technical mentorship and design guidance to senior and mid-level engineers, raising the overall quality bar without direct people management.
  • Act as a Subject Matter Expert (SME) for clean energy project characterization and power market dynamics.
  • Act as a go-to technical authority for modeling architecture, data quality, and system-level tradeoffs.
  • Clearly communicate complex technical concepts, assumptions, and validation results to internal stakeholders and external customers.

Required Experience & Qualifications 

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 10+ years of professional experience designing and operating data-intensive software systems in production environments.
• Expert-level proficiency in Python (including Pandas/NumPy) and SQL.
• Significant experience with time-series modeling, forecasting, machine learning, and statistical techniques in applied settings (e.g., Statsmodels, Scikit-learn, TensorFlow, or PyTorch).
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), including containerized workloads (Docker/ECS) and Infrastructure-as-Code (e.g., Terraform).
• Proven ability to lead technical initiatives across teams, making architectural decisions that balance correctness, performance, and maintainability.

Preferred Qualifications

• Domain expertise in clean energy, power markets, or energy analytics; experience in finance, offtake structures, or hedging is a strong plus.
• Experience building or supporting power flow or least-cost optimization models.
• Prior experience operating at a Staff or Principal level, leading cross-functional technical strategy and initiatives.

Details

• Location: Boston, MA
• Our organization works on a hybrid model. We are in the office on Mondays, Tuesdays, and Thursdays at our downtown Boston building, and remote work is optional on Wednesdays and Fridays.

Compensation and Benefits

• The base compensation range for this position is $146,400 to $211,600. Actual starting pay is determined by a number of factors, including relevant skills, qualifications, and experience. This range does not include annual bonus, equity-based incentives, and benefits.
• Benefits information can be found on our Careers page: https://resurety.com/about/careers/