Staff AI & ML Engineer

Ever since we started in 2007, Sunrun has been at the forefront of connecting people to the cleanest energy on Earth. It's why we've become the #1 home solar and battery company in America. Today, we're on a mission to change the way the world interacts with energy, and we're building a company and brand that puts power at the center of life. And we're doing it by designing a dynamic culture where employee development, well-being, and safety come first. We're unlike any other solar company. Our vertically integrated model gives us total control over every part of the energy lifecycle - from sale through installation and beyond - so you can find endless opportunities for growth. Come join a career you can grow in and a culture you can run with.At Sunrun, we believe in a future powered by the sun-clean, reliable, and accessible for everyone. As America's leading solar company, our mission is to bring solar panels and batteries to every home, giving families energy independence and protection against rising utility costs. By harnessing the limitless power of the sun, we're driving the transition to a more sustainable world, one rooftop at a time. With cutting-edge solar technology and home battery storage, we empower homeowners to take control of their energy future-because a brighter tomorrow starts today.We are seeking a skilled engineer for the Sunrun ATG group to build and ownend-to-end applications across the business. You will interface directly with key business leaders and senior company executives to design, code, test and deploy applications and solutions to some of the most pressing problems in solar today.Key ResponsibilitiesBuild the right technical solution using the right frameworks and data to help solve the important business problems.Analyze data trends, identify patterns, and derive actionable insightsBuild end-to-end applications (backend and frontend) to replace manual processes in a more accurate and efficient manner.Develop, test and deploy appli

Requirements will be detailed in the application process.

Responsibilities will be detailed during the interview process.

Apply online at: https://www.themuse.com/jobs/sunrun/staff-ai-ml-engineer-8aee42