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.Job DescriptionWe are seeking a skilled Machine Learning Engineer/Data Scientist to analyze complex data patterns, derive insights, train and deploy deep learning/machine learning models into real-world applications. The ideal candidate will have a strong mathematical foundation, experience in experimental design, and expertise in model development and productionization. Experience in NLP, LLMs, prompt engineering is a plus. Full stack development experience is a plus.Key Responsibilities:<ul><li>Build the right technical solution using the right to data to help solve the important business problems</li><li>Analyze data trends, identify patterns, and derive actionable insights.</li><li>Design and execute experiments to validate data-driven hypotheses.</li><li>Develop, train, and evaluate machine learning, computer vision and deep learning models.</li><li>Implement and deploy models into production environments for real-world applications.</li><li>Build robust monitoring and evaluation metrics to track model performance.</li><li>Apply financial and mathematical concepts to machine learning solutions.</li></ul>Requirements:<ul><li>Bachelors degree in STEM related field, Masters degree or higher preferred.</li><li>Proficiency in Python, SQL, and machine learning frameworks (PyTorch,Tensorflow, XGBoost, Scikit-learn, etc.).</li><li>Experience with computer vision and image processing, perception, object detection, segmentation, image registration, image super resolution. </li><li>Strong understanding of statistics, probability, and financial modeling.</li><li>Experience in A/B testing and experimental design.</li><li>Hands-on experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.</li><li>Ability to translate data insights into business impact.</li></ul>Bonus: Experience with time-series forecasting, NLP, or recommendation systems.If you are passionate about turning data into impactful solutions that solve business problems, we’d love to hear from you!Recruiter:Kristina Sedjo (kristina.sedjo@sunrun.com)Please note that the compensation information is made in good faith for this position only.  It assumes that the successful candidate will be located in markets within the United States that warrant the compensation.  Please speak with your recruiter to learn more.Starting salary/wage for this opportunity:$168,914.66 to $225,219.54Compensation decisions will not be based on a candidates salary history. You can learn more <a href="https://tbcdn.talentbrew.com/company/21632/gst_v1_0/pdf/pay-transparency-english.pdf" target="_blank">here</a>.This job description outlines the primary responsibilities, some essential job functions, and qualifications for the role. It may not include all essential functions, tasks, or requirements. If you are a qualified individual with a disability and you need reasonable accommodation during the hiring process or to perform this role, please contact us at <a href="mailto:candidateaccommodations@sunrun.com" target="_blank">candidateaccommodations@sunrun.com</a>.Sunrun is proud to be an equal opportunity employer that does not tolerate discrimination or harassment of any kind.  We believe that empowering people and valuing their differences are essential for our mission of connecting people to the cleanest energy on earth. Learn more here: <a href="https://careers.sunrun.com/eeo" target="_blank">EEO | Sunrun</a>