Top AI & Machine Learning Jobs

Reposted YesterdaySaved
In-Office
Seattle, WA, USA
168K-220K Annually
Mid level
168K-220K Annually
Mid level
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Design, implement, and productionize scalable ML models and microservices. Build and maintain large-scale data pipelines, prototype solutions, participate in design reviews, and collaborate with product and engineering teams to deliver ML-driven product features.
Top Skills: C#Data PipelinesJavaMachine LearningMicroservicesPythonPyTorchTensorFlow
2 Days AgoSaved
In-Office
Seattle, WA, USA
168K-221K Annually
Senior level
168K-221K Annually
Senior level
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Build and maintain monitoring, testing, and observability systems for AI agents; design test coverage frameworks; partner with science and product to develop LLM evaluation and debugging tools; support production via on-call rotation; collaborate with customers and engineers to drive scalable, production-ready agent quality.
Top Skills: Ai/MlClaudeCursorLangsmithLlmsMonitoring And Observability SystemsPrompt EngineeringTesting Frameworks
3 Days AgoSaved
In-Office
Seattle, WA, USA
207K-271K Annually
Expert/Leader
207K-271K Annually
Expert/Leader
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Lead development of a Semantic Brain: map raw event logs to industry ontologies, build concept/identity-anchored graphs, design reward extraction and off-policy evaluation, deploy agentic LLM orchestration and scalable data pipelines to enable autonomous enterprise decisioning.
Top Skills: SparkAws NeptuneCdkCloudFormationEc2LambdaLangchainLlamaindexPysparkPythonS3ScalaSparqlTerraform
3 Days AgoSaved
In-Office
Seattle, WA, USA
180K-267K Annually
Senior level
180K-267K Annually
Senior level
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Design, implement, and productize scalable ML models and services. Build and maintain large-scale data pipelines and microservices. Collaborate with product and engineering teams, prototype solutions, lead design reviews, mentor junior engineers, and stay current with ML research to improve customer-facing features and platform capabilities.
Top Skills: AIC#Data PipelinesJavaMachine LearningMicroservicesPythonPyTorchTensorFlow
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