Senior Machine Learning Engineer

Go Fund Me
Buenos Aires
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Collaboration","Project scoping","Continuous improvement","Knowledge sharing"]

Design and implement next-generation ML solutions that power GoFundMe search and retrieval, recommendations, and personalization. You’ll build batch inference and real-time services, develop taxonomy/ontology and entity understanding, and apply graph-based techniques (graph databases and knowledge graphs). Partner with product and platform stakeholders to improve discovery and relevance, while optimizing offline/online metrics and production reliability using Python, AWS, and modern ML infrastructure.

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FursaFursa
Go Fund Me
Go Fund Me
1 month ago

Senior Machine Learning Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 10 months ago

Job Summary

Design and implement next-generation ML solutions that power GoFundMe search and retrieval, recommendations, and personalization. You’ll build batch inference and real-time services, develop taxonomy/ontology and entity understanding, and apply graph-based techniques (graph databases and knowledge graphs). Partner with product and platform stakeholders to improve discovery and relevance, while optimizing offline/online metrics and production reliability using Python, AWS, and modern ML infrastructure.
Location: Buenos Aires
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement AI/ML systems across personalization, recommendations, content understanding, fraud detection, and next-best-action services, including batch inference and real-time applications.
  • •Develop taxonomy and ontology structures plus content understanding, classification, and tagging systems that power discovery, personalization, and recommendations.
  • •Partner with product and platform stakeholders to define and evolve catalogs, taxonomies, and entity understanding to improve relevance and user experiences.
  • •Apply graph-based techniques (graph databases, knowledge graphs, and graph algorithms/models) to enhance retrieval, recommendations, and personalization.
  • •Develop and deploy reliable, fault-tolerant, high-throughput services and lead initiatives to optimize ML performance and quality using offline and online metrics.

Pay and Benefits

Perks:Health InsuranceParental Leave

Key Requirements

  • •4+ years of hands-on experience in machine learning or applied ML engineering, with experience deploying solutions into production environments.
  • •Experience with search and retrieval (ranking/relevance) and/or recommendation and personalization systems, ideally applied end-to-end for discovery.
  • •Design, develop, and deploy end-to-end ML systems including data pipelines, feature engineering, model training/serving, and monitoring.
  • •Experience with catalogs, taxonomies, entity resolution, and embeddings/semantic representations to improve retrieval and recommendation quality.
  • •Familiarity with graph databases and knowledge graphs, including applying graph algorithms/models to support retrieval and personalization use cases.
Experience:Machine learningSearch and retrievalRecommendationsPersonalization
Skills:CommunicationCollaborationProject scopingContinuous improvementKnowledge sharing
Languages:English
Tech Stack:PythonAWSDatabricksDockerKubernetesFastAPITerraformSnowflakeGitHub

Company Brief

Go Fund Me
Operates an online crowdfunding platform that enables individuals and organizations to raise money for personal causes, medical expenses, charities, and community projects through donations from the public.
Industry: Online Marketplaces
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: San Diego, United States
Founded: 2010
WebsiteLinkedIn