CoreLogic - Dallas, TX
posted 4 months ago
At CoreLogic, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. As a Principal Machine Learning Engineer, you will join a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and large language models (LLM). This role emphasizes ownership of your work, continuous learning, and finding joy in what you do. You will support model training and prediction using various machine learning techniques on structured and unstructured data, including imagery and text. Your contributions will be vital in deploying large data and models using batch and API methods, as well as supporting multiple modalities such as spatial, 3D, and audio. You will perform your work in a cloud-based Linux environment, preparing and maintaining programs and documentation for software. Conducting defined quantitative and qualitative research projects independently, you will communicate research results to both internal and external stakeholders. The position requires a high degree of independence, as you will receive general direction and be competent to perform nearly all aspects of the job independently. You will also take a team leadership role in developing and refining an analytics development platform, mentoring and training junior colleagues along the way. CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking. We know our people are our greatest asset, and we encourage collaboration, valuing contributions, and developing skills that directly impact the real estate economy. By putting clients first and continuously innovating, we are working together to set the pace for unlocking new possibilities that better serve the property industry.