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Senior Machine Learning Engineer

GoFundMeBuenos Aires, ArgentinaData
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Salary
Not listed
Job type
Full-time
Posted
28 Jul 2026
Status
Open · checked 7d ago

About this role

Role Overview

GoFundMe is seeking a Senior Machine Learning Engineer to join the team in Buenos Aires, Argentina, with an in-office requirement of three times per week. This position suits an experienced engineering professional looking to design and implement next-generation machine learning solutions that power personalization, recommendation, and search systems.

Key Responsibilities

Design and implement AI and machine learning systems spanning personalization, recommendations, fraud detection, content understanding, and batch or real-time inference applications.
Build taxonomy and ontology structures along with classification and tagging systems to provide foundational signals for company-wide discovery.
Partner with product and platform stakeholders to evolve catalogs and entity understanding that elevate user experiences and relevance.
Apply graph-based techniques, such as knowledge graphs and graph algorithms, to improve recommendations, retrieval, and personalization.
Develop fault-tolerant, high-throughput, low-latency services with a strong emphasis on scalability, observability, and reliability.
Optimize ML system performance using offline and online metrics such as ranking quality, coverage, diversity, and engagement.
Streamline machine learning workflows and help establish standardized operating procedures.
Collaborate closely with data scientists, software engineers, product managers, and business stakeholders.

Requirements

At least four years of hands-on experience in machine learning, applied ML engineering, data science, or related domains with a focus on production environments.
Background in search and retrieval systems, ranking and relevance, recommendation systems, or personalization platforms.
Experience building end-to-end machine learning systems covering data pipelines, feature engineering, model training, serving, and monitoring.
Familiarity with catalogs, taxonomies, entity resolution, and semantic embeddings.
Knowledge of graph databases and graph machine learning for retrieval and recommendation use cases.
Strong verbal and written communication skills to present technical concepts to various stakeholders.

Nice to Have

Advanced degree such as a Master’s or Ph.D. in Computer Science, Statistics, Data Science, or a related technical field.
Experience combining search, recommendation, and personalization capabilities into end-to-end discovery journeys.
A sense of humor.

Skills and Tools

Python
AWS
Databricks
Docker
Kubernetes
FastAPI
Terraform
Snowflake
GitHub

Salary and Benefits

Competitive pay and comprehensive healthcare benefits
Financial support for hybrid work, commuting, and family planning
Generous parental leave and flexible time-off policies
Mental health and wellness resources
Learning, development, and recognition programs
Volunteer and Gives Back community engagement programs

About the Company

GoFundMe is the world’s most powerful community for good, uniting individuals and nonprofits to help people ask for help and support causes safely. Since 2010, the community has raised more than $40 billion. Operating under core values that include being impatient to be great, finding a way, earning trust every day, and being fueled by purpose, GoFundMe is an equal opportunity employer committed to diversity, equity, and inclusion.

How to Apply

To apply for this position, please visit the official GoFundMe careers page to submit your application.

Skills and tech stack

Questions candidates ask

Where is this job located?

This position is located in Buenos Aires, Argentina, with an in-office requirement of three times a week.

How much experience is required?

Candidates must have 4+ years of hands-on experience in machine learning, applied ML engineering, data science, or a related field.

What technical tools and platforms will I use?

The role utilizes tools including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub.

Is an advanced degree required?

An advanced degree such as a Master’s or Ph.D. in Computer Science, Statistics, Data Science, or a related technical field is preferred but not strictly required.

How do I apply for the Senior Machine Learning Engineer position?

You can apply directly on the official GoFundMe careers page.

Ready to apply?

The application is on the official GoFundMe careers page.

Apply on company site