Staff LLM Engineer

Job Overview GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes – for themselves and each other. Together, our community has raised more than $40 billion since 2010. Position We are hiring a Staff LLM Engineer in the Applied Science organization. This hybrid position is located in Buenos Aires, Argentina. The role requires strong end-to-end execution, supported by broad and deep expertise in machine learning, AI, and secure software development. Responsibilities Design and implement diverse AI and ML applications and workflows, including agents, batch inferencing processes, and real‑time inferencing solutions. Design and contribute to the development of search and retrieval algorithms, recommender systems, personalization algorithms, and more. Lead the research and development of sophisticated machine learning models and model training and evaluation pipelines. Drive operational excellence by leading initiatives to streamline AI/ML workflows and establish standardized procedures to ensure consistent and high‑quality outcomes across AI/ML projects and systems. Continuously monitor and evaluate emerging AI and machine learning research and technologies, integrating relevant advancements to enhance solutions. Collaborate with technical and non‑technical colleagues, including data scientists, software engineers, product managers, and business stakeholders, to drive the successful implementation of machine learning projects. Coach and mentor fellow engineers, contributing to a culture of collaboration, scientific inquiry, continuous learning, and engineering excellence. Employ a diverse set 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. Qualifications 7+ years of hands‑on experience in machine learning, data science, or related fields, with a strong emphasis on research, scientific methodology, and practical engineering applications. Extensive knowledge of machine learning algorithms and statistical modeling, coupled with proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit‑learn, and others. Experience with LLM‑based applications and development, including commercial solutions such as OpenAI API and Anthropic, as well as open‑source models and frameworks like Hugging Face, LangChain, Llama, etc. Experience designing, developing, and deploying end‑to‑end machine learning systems, including data pipelines, model training and serving, and monitoring solutions. Strong leadership skills, including guiding projects and mentoring team members, fostering a collaborative and high‑performing work environment that values continuous improvement and knowledge sharing. Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine learning initiatives. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non‑technical stakeholders. Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred. Sense of humor is optional but appreciated. Benefits Make an impact in a mission‑driven organization that changes millions of lives every year. Innovative environment with a fast‑paced, forward‑thinking atmosphere. Collaborative team that works hard and celebrates success together. Competitive pay and comprehensive healthcare benefits. Hybrid work support, family planning assistance, generous parental leave, flexible time‑off policies, and mental health and wellness resources. Learning, development, and recognition programs to grow professionally. Commitment to diversity, equity, and inclusion initiatives and employee resource groups. Volunteer program to give back to the community. Location Hybrid remote and on‑site work in Buenos Aires, Argentina. Equal Opportunity GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at #J-18808-Ljbffr