To support the development of AI/ML capabilities, the full-time Principal ML Engineer will innovate and personalize user experiences, guide a team of engineers, and apply machine learning techniques to derive insights from large datasets in a remote environment. Key responsibilities Contribute to the development of scalable AI/ML solutions that enhance user personalization and insights Guide and mentor a team of engineers, fostering a culture of innovation and excellence Develop AI/ML tools and workflows to manage and utilize large datasets for analytics and product features Required qualifications Bachelor's degree in Computer Science, Data Science, or a related field; a Master's degree is a plus 8+ years of experience in machine learning, data analysis, or a related field Proficiency in Python, Java, or C++ and machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn Experience with big data technologies (Hadoop, Spark) and modern ML infrastructure (Airflow, MLFlow) Hands-on experience with generative AI and optimization techniques, including LLMs and GPU optimizations