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Machine Learning, Software Engineer at REsurety
Boston, Massachusetts, United States -
Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

12 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Models, Technology Platforms, Software Engineering, Machine Learning

Industry

Services for Renewable Energy

Description
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.
Responsibilities
This role involves contributing to the development of data, software, and services for the clean energy economy, likely focusing on machine learning applications within REsurety's transactional marketplace. The engineer will be expected to leverage proprietary data models and powerful technology platforms to support decision-making and portfolio management.