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GoFundMe logo

Senior Machine Learning Engineer

GoFundMeCrowdfunding company
Buenos Aires, ArgentinaSenior
Accel logo
Accel
TCV logo
TCV
Greylock logo
Greylock
Meritech Capital logo
Meritech Capital
Stripes Group
Iconiq Capital logo
Iconiq Capital
Data & AI

About the role

TL;DR

Design and implement advanced ML systems for search, recommendations, and personalization.

  • GoFundMe is seeking a Senior Machine Learning Engineer to design and implement next-generation ML solutions for search, retrieval, recommendation, and personalization systems.
  • You will collaborate with a motivated team to deliver high-impact solutions for users and the business.
  • Key Responsibilities Design and implement AI/ML systems across personalization, recommendations, content understanding, and fraud detection.
  • Develop and deploy robust, fault-tolerant, high-throughput services emphasizing reliability and scalability.
  • Lead initiatives to optimize ML system performance and quality using offline and online metrics.
  • Collaborate with cross-functional teams including data scientists, software engineers, and product managers.
  • Employ tools and platforms like Python, AWS, Databricks, Docker, and Kubernetes.
  • Requirements 4+ years of hands-on experience in machine learning or applied ML engineering.
  • Extensive experience with search, recommendation, or personalization systems.
  • Experience designing, developing, and deploying end-to-end ML systems.
  • Familiarity with graph databases and knowledge graphs is a plus.
  • Advanced degree in Computer Science, Statistics, Data Science, or a related field is preferred.
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Required skills

PythonAWSDockerKubernetesFastAPITerraformSnowflakeSQLTensorFlowPyTorchscikit-learn

Nice-to-have skills

Neo4jNLPComputer Vision

Domain expertise

nonprofit

Benefits & perks

Competitive pay, Comprehensive healthcare benefits, Financial assistance for hybrid work, Family planning assistance, Commuting assistance, Generous parental leave, Flexible time-off policies, Mental health and wellness resources, Learning and development programs, Recognition programs

Tech stack

PythonAWSDatabricksDockerKubernetesFastAPITerraformSnowflakeSQLTensorFlowPyTorchscikit-learnNeo4j

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