Senior Machine Learning Engineer

HiViz; Buenos Aires; Presencial; ARS 2.500.000 - 4.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive pay and benefits

Healthcare benefits

Hybrid in-office schedule

Parental leave and flexible time off

Mental health resources

Descripción de la vacante

GoFundMe is hiring a Senior Machine Learning Engineer in Buenos Aires to design and deploy cutting‑edge ML solutions powering search, recommendations, and personalization. You will build scalable, low‑latency services, collaborate with data scientists, engineers, and product teams, and advance catalogs, taxonomies, and graph‑based features.

The role emphasizes robust pipelines, monitoring, and operational excellence, with in‑office requirements 3x per week in Buenos Aires.

Formación

• 4+ years hands-on ML engineering, data science, or related field with production deployments.
• Experience with search/retrieval, ranking, and personalization systems a plus.
• Design, develop, deploy end-to-end ML systems including data pipelines and monitoring.
• Working knowledge of catalogs, taxonomies, entity resolution, embeddings, semantic representations.
• Familiarity with graphs/knowledge graphs to support retrieval and recommendations.

Responsabilidades

• Design and implement ML systems across personalization, recommendations, and content understanding.
• Develop taxonomy ontologies and content understanding to improve discovery and ranking.
• Collaborate with product, data science, and eng teams to evolve catalogs and entities.
• Apply graph-based techniques and graph ML to boost retrieval and personalization.
• Build robust, scalable, low-latency services with reliable monitoring.
• Lead initiatives to optimize ML performance using offline/online metrics.
• Standardize ML workflows and drive operational excellence across projects.
• Communicate complex concepts clearly to technical and non-technical stakeholders.
• Explore toolchain including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, GitHub.

Conocimientos

ML engineering

Search and retrieval

Recommendation systems

End-to-end ML pipelines

Graph knowledge

Collaboration

Communication

Production deployment

Educación

Master’s or Ph.D. preferred

Herramientas

Python

AWS

Databricks

Docker

Kubernetes

FastAPI

Terraform

Snowflake

GitHub

Descripción del empleo

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 [e-mail].

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Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.

Learn More About GoFundMe

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.