Senior ML Engineer - Personalization & Search

GoFundMe; Buenos Aires; On-site; ARS 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Healthcare benefits

Hybrid work flexibility

Parental leave

Mental health resources

Job summary

GoFundMe is hiring a Senior Machine Learning Engineer in Buenos Aires to design and implement scalable ML systems powering search, recommendations, and personalization. You will work with a skilled team to deliver high-impact solutions, collaborating with product managers and cross-functional partners.

The role requires 4+ years in ML engineering, experience with end-to-end ML pipelines, and strong Python/AWS skills.

Qualifications

• 4+ years of hands-on experience in machine learning, applied ML engineering, data science, or related fields.
• Experience with search/recommendation/personalization systems and end-to-end ML pipelines.
• Ability to design, develop, and deploy end-to-end ML systems including data pipelines, feature engineering, model training, serving, and monitoring.
• Familiarity with catalogs, taxonomies, entity resolution, embeddings, and semantic representations to improve retrieval and recommendations.
• Strong collaboration and communication skills, capable of working with cross-functional teams.

Responsibilities

• Design and implement AI/ML systems across personalization, recommendations, content understanding, fraud detection, and real-time services.
• Develop taxonomy, ontology, and tagging systems to power discovery and recommendations.
• Collaborate with product and platform teams to evolve catalogs and entity understanding.
• Apply graph-based techniques and graph databases to enhance retrieval and personalization.
• Build robust, scalable, low-latency services with a focus on reliability and observability.
• Lead efforts to optimize ML system performance using offline and online metrics.
• Contribute to standardized ML workflows and best practices across projects.
• Collaborate with data scientists, software engineers, and product managers to foster a collaborative culture.
• Utilize Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub to deploy production-grade ML solutions.

Skills

ML system design

End-to-end ML deployment

Python

AWS

Databricks

Docker

Kubernetes

FastAPI

Terraform

Snowflake

GitHub

Communication

Education

Master’s or Ph.D. in Computer Science / Statistics / Data Science

Tools

AWS

Databricks

Docker

Kubernetes

FastAPI

Terraform

Snowflake

GitHub

Job description

GoFundMe is hiring a Senior Machine Learning Engineer in Buenos Aires to design and implement scalable ML systems powering search, recommendations, and personalization. You will work with a skilled team to deliver high-impact solutions, collaborating with product managers and cross-functional partners.

The role requires 4+ years in ML engineering, experience with end-to-end ML pipelines, and strong Python/AWS skills.