About AiDash
AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance – and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.
We are a Series C climate techstartup backed by leading investors (including National Grid Partners, G2 Venture Partners, Lightrock, BGV, Marubeni, among others), and by our customers-turned-advocates (Duke Energy & National Grid Partners, among others)! We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers”. We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies2024”.
Join us in creating a greener, cleaner, and safer planet from space!
The Role
We are looking for a Principal Machine Learning Engineer to develop and enhance our ML infrastructure and platforms, streamlining the process of building, deploying, and monitoring machine learning models. In this role, you will work with cutting-edge technologies, rapidly expanding your knowledge and skills. You will collaborate with diverse teams across the company, and will see the direct impact of your contributions on our products and customers.
We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work.
We offer a competitive base pay range for this full-time position, which is between $200,000 and $250,000 per year. This range reflects the anticipated base salary for new hires. We strive to ensure our compensation packages are equitable and aligned with industry standards. Your recruiter can share more about compensation during the hiring process.
We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.