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Top AI & Machine Learning Jobs in Los Angeles, CA
Big Data • Fintech • Mobile • Payments • Financial Services
Build and operate ML training and serving infrastructure by designing, developing, and launching backend systems. Collaborate across teams to decompose projects, support operations and on-call, create monitoring and metrics, perform code reviews, and contribute to developer velocity and platform reliability.
Top Skills:
AWSKotlinKubernetesMySQLPython
Reposted 4 Days AgoSaved
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Big Data • Fintech • Mobile • Payments • Financial Services
As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.
Top Skills:
KubeflowMlflowPythonPyTorchRaySparkXgboost
Reposted 11 Days AgoSaved
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Big Data • Fintech • Mobile • Payments • Financial Services
Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.
Top Skills:
Agentic MlDeep LearningMachine LearningTransformersTree-Based Models
Big Data • Fintech • Mobile • Payments • Financial Services
As a Machine Learning Engineer II, you will enhance AI systems for automating customer operations, develop evidence extraction pipelines, and collaborate with teams on model development and deployment.
Top Skills:
AirflowCatboostKubeflowLangchainLanggraphLightgbmMlflowOpenaiPythonXgboost
Reposted 24 Days AgoSaved
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Big Data • Fintech • Mobile • Payments • Financial Services
Lead the development of fraud prediction models using machine learning, collaborating across teams to build, scale, and monitor models in production.
Top Skills:
AirflowCatboostKubeflowLightgbmMachine LearningMlflowPythonPyTorchSparkXgboost
Reposted 24 Days AgoSaved
Easy Apply
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Big Data • Fintech • Mobile • Payments • Financial Services
Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.
Top Skills:
Data PipelinesDeep LearningGradient-Boosted TreesMachine LearningRepresentation LearningScalable SystemsTransformer-Based Models
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