Top Tech Jobs & Startup Jobs

Reposted One Month AgoSaved
In-Office
2 Locations
175K-295K Annually
Senior level
175K-295K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
Responsible for recruiting top talent for Core Tech teams, focusing on Machine Learning and AI. Collaborates with hiring managers to improve processes and enhance employer branding while scaling diverse teams.
Top Skills: AIMachine Learning
Reposted One Month AgoSaved
In-Office
Washington, DC, USA
380K-450K Annually
Senior level
380K-450K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
Drive business and revenue growth in federal civilian agencies, manage sales cycle, ensure compliance, and build relationships with decision-makers.
Top Skills: AIAWSFederal ContractingGCP
Reposted One Month AgoSaved
In-Office
3 Locations
350K-500K Annually
Entry level
350K-500K Annually
Entry level
Artificial Intelligence • Natural Language Processing • Generative AI
As a Research Engineer, you will develop large scale ML systems, optimize infrastructure and enhance research tools while ensuring reliability and safety.
Top Skills: ETLGpusKubernetesMl SystemsOs InternalsPythonPyTorchReinforcement LearningTransformers
Reposted One Month AgoSaved
In-Office
3 Locations
290K-365K Annually
Senior level
290K-365K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
Manage operational health and progress of reliability infrastructure in AI systems, driving incident responses, maintaining service-level objectives, and coordinating platform projects.
Top Skills: DatadogIncident Management FrameworksInfrastructure ManagementMl SystemsMonitoring ToolsPagerdutySre Practices
Reposted One Month AgoSaved
In-Office
San Francisco, CA, USA
405K-485K Annually
Expert/Leader
405K-485K Annually
Expert/Leader
Artificial Intelligence • Natural Language Processing • Generative AI
Lead and grow an engineering team building investigation, review, and enforcement tooling and platform capabilities. Define roadmap for analytics, privacy-preserving data primitives, sandboxes, and automation that integrates Claude/LLMs into human-in-the-loop review workflows. Partner with policy, operations, legal, privacy, and data science to translate enforcement needs into reliable, privacy-compatible systems and hire and coach top technical talent.
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