Staff LLM Engineer

Who you are

You have extensive experience in machine learning and AI, with a strong focus on designing and implementing innovative applications. Your background includes developing generative AI models and personalization algorithms, showcasing your ability to leverage cutting-edge technologies to solve complex problems. You are skilled in Python and have hands-on experience with frameworks like TensorFlow and Keras, which you have used to build and deploy machine learning models effectively. You understand the importance of secure software development practices and have a track record of delivering high-quality solutions in a collaborative environment. You thrive in hybrid work settings, balancing remote collaboration with in-person teamwork.

Desirable

Experience with search and retrieval systems, as well as taxonomy and classification systems, would be a plus. Familiarity with operational excellence initiatives in AI and machine learning workflows is also desirable, as is a passion for social impact and community-driven projects.

What you'll do

In your role as Staff LLM Engineer at GoFundMe, you will design and implement diverse AI and ML applications and workflows, including agents and real-time inferencing solutions. You will lead the research and development of sophisticated machine learning models, ensuring they are effectively trained and evaluated. Your responsibilities will include developing search and retrieval algorithms and recommender systems that enhance user experience and engagement on the platform. You will drive initiatives to streamline AI and machine learning workflows, establishing standardized procedures that ensure consistent quality and operational excellence. Collaborating closely with cross-functional teams, you will contribute to the overall mission of helping people help each other through innovative technology solutions.

What we offer

GoFundMe offers a unique opportunity to work at the intersection of technology and social impact. You will be part of a passionate team dedicated to making a difference in the world. The hybrid work model allows for flexibility while fostering collaboration and innovation. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to empower communities and drive critical social change through technology.