Senior Machine Learning Engineer

Location: Buenos Aires, Argentina

Want to help us help others? We’re hiring!

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.

Join us! The GoFundMe team is searching for our next Senior Machine Learning Engineer to help design and implement our next generation of machine learning solutions powering search and retrieval, recommendation, and personalization systems. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.

Candidates considered for this role will be located in Buenos Aires. There will be an in-office requirement of 3x a week.

The Job…

• Design and implement AI/ML systems across personalization, recommendations, content understanding, fraud detection, next-best-action services, and more, including batch inference pipelines and real-time applications.
• Design and contribute to the development of taxonomy and ontology structures and content understanding, classification, and tagging systems that provide the foundational signals for discovery, personalization, and recommendations across the company.
• Partner with product and platform stakeholders to define and evolve catalogs, taxonomies, and entity understanding that improve discovery, relevance, and user experiences.
• Design and apply graph-based techniques—such as graph databases, knowledge graphs, and graph algorithms/models—to enhance retrieval, recommendations, personalization, and content understanding.
• Develop and deploy robust, fault tolerant, high-throughput services, emphasizing reliability, scalability, observability, and low-latency performance.
• Lead initiatives to optimize the performance and quality of ML systems using new or established offline and online metrics (e.g., relevance, ranking quality, coverage/diversity, engagement, and long-term user value).
• Support operational excellence by participating in initiatives to streamline ML workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our projects and systems.
• Collaborate closely with AI/ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, and continuous learning.
• 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.

You…

• 4+ years of hands-on experience in machine learning, applied ML engineering, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments.
• Extensive experience with one or more of the following: search and retrieval systems (including ranking and relevance), recommendation systems, and personalization systems; experience combining these capabilities into end-to-end discovery experiences is a plus.
• Experience designing, developing, and deploying end-to-end ML systems, including data pipelines, feature engineering, model training and serving, and monitoring solutions.
• Experience with catalogs, taxonomies, entity resolution, embeddings, and/or semantic representations used to improve retrieval and recommendation quality.
• Familiarity with graph databases and knowledge graphs (e.g., modeling entities/relationships, building graph-powered features, applying graph algorithms, and/or graph ML) to support retrieval, recommendation, and personalization use cases.
• Demonstrated ability to guide projects and foster 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.
• A sense of humor is optional but appreciated.

Why you’ll love it here...

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, and commuting, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We are committed to providing diversity, equity, and inclusion training to all employees, and we do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, 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 recruiter contact.