About the job
Are you ready to make a difference? Join our team!
GoFundMe is the premier global platform for community-driven support, devoted to empowering individuals to assist one another. By connecting individuals and non-profits in a unified space, we make it simple and secure for people to seek help and support various causes, both for themselves and others. Since 2010, our community has successfully raised over $40 billion.
We are seeking a talented Staff LLM Engineer to join our Applied Science organization. In this pivotal role, you will be responsible for designing, developing, and deploying cutting-edge services and applications utilizing advanced machine learning and AI techniques, including generative AI, personalization, recommender systems, search and retrieval systems, taxonomy, and classification systems. You will need to demonstrate strong end-to-end execution and possess a broad and deep expertise in machine learning, AI, and secure software development.
This position is hybrid. Candidates must be based in Buenos Aires, Argentina.
Your Responsibilities:
- Design and implement a variety of AI and ML applications and workflows, such as agents, batch inferencing processes, and real-time inferencing solutions.
- Contribute to the development of search and retrieval algorithms, recommender systems, and personalization algorithms.
- Lead research and development efforts for sophisticated machine learning models, as well as model training and evaluation pipelines.
- Enhance operational excellence by spearheading initiatives to streamline AI and machine learning workflows, establishing standardized procedures to ensure high-quality outcomes across our AI/ML projects and systems.
- Continuously monitor and assess emerging AI and machine learning research and technologies, integrating relevant advancements into our solutions.
- Collaborate effectively with technical and non-technical colleagues, including data scientists, software engineers, product managers, and business stakeholders, to ensure the successful execution of machine learning projects.
- Mentor and coach fellow engineers, fostering a culture of collaboration, scientific inquiry, continuous learning, and engineering excellence.
- Utilize a diverse range of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems.
