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Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

10 Days AgoSaved
Hybrid
San Francisco, CA, USA
255K-325K Annually
Mid level
255K-325K Annually
Mid level
Artificial Intelligence • Machine Learning • Generative AI
The Software Engineer will build infrastructure and data systems for personalized multimodal AI, focusing on evaluation frameworks and human feedback mechanisms, in collaboration with researchers.
Top Skills: Data SystemsEvaluation FrameworksMachine LearningMultimodal Ai
10 Days AgoSaved
Hybrid
San Francisco, CA, USA
380K-445K Annually
Mid level
380K-445K Annually
Mid level
Artificial Intelligence • Machine Learning • Generative AI
The Research Engineer/Scientist will develop RLHF methods and evaluation frameworks for multimodal AI systems, focusing on user preference modeling and long-term behavioral outcomes.
Top Skills: Evaluation FrameworksMachine LearningMultimodal AiReinforcement LearningUser Modeling
10 Days AgoSaved
In-Office
San Francisco, CA, USA
302K-335K Annually
Expert/Leader
302K-335K Annually
Expert/Leader
Artificial Intelligence • Machine Learning • Generative AI
Lead design production strategy, manage end-to-end design processes across various teams, establish production best practices, and oversee vendor and budget management.
Top Skills: Analytics Tools
10 Days AgoSaved
Hybrid
San Francisco, CA, USA
234K-260K Annually
Senior level
234K-260K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
The Demo Experience Engineer will create engaging prototypes and demos showcasing OpenAI technologies, collaborate with teams, and enhance customer engagement. Responsibilities include developing applications that address business needs and maintaining technical demo assets.
Top Skills: APIsGenerative AiJavaScriptLlmsMachine Learning SystemsModern Web FrameworksPython
10 Days AgoSaved
Hybrid
San Francisco, CA, USA
216K-240K Annually
Senior level
216K-240K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
Manage full-cycle recruitment for Forward Deployed Engineering, develop hiring strategies, enhance candidate experience, and ensure compliance with operational processes.
Top Skills: AshbyAtsLinkedin Recruiter
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Reposted 10 Days AgoSaved
In-Office
San Francisco, CA, USA
230K-325K Annually
Senior level
230K-325K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
As a Frontend Engineer, you'll develop user-facing identity experiences for secure access, collaborating with teams to design and implement identity flows like sign-in and account management.
Top Skills: Frontend FrameworksOauthOidcRbacSAMLScimSso
Reposted 10 Days AgoSaved
In-Office
San Francisco, CA, USA
230K-385K Annually
Mid level
230K-385K Annually
Mid level
Artificial Intelligence • Machine Learning • Generative AI
The Backend Software Engineer will design and build infrastructure for evaluating and enhancing OpenAI's support automation, collaborating with teams to develop pipelines and APIs.
Top Skills: FastapiPostgresPython
Reposted 10 Days AgoSaved
Hybrid
San Francisco, CA, USA
230K-385K Annually
Senior level
230K-385K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
Incubate and build new platform capabilities from ambiguous customer signals: design, implement, pilot with design partners, debug in production, and transition scalable solutions to core teams while driving adoption, observability, and safety.
Top Skills: APIsAuditabilityData Access BoundariesInstrumentationMlObservabilityPlatformRbac
Reposted 10 Days AgoSaved
In-Office
San Francisco, CA, USA
293K-490K Annually
Senior level
293K-490K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
The Software Engineer will build AI-powered job solutions, design core systems for matching and automation, and create user-centric experiences.
Top Skills: AIBackendFrontendSoftware EngineeringUx
Reposted 10 Days AgoSaved
Hybrid
San Francisco, CA, USA
178K-320K Annually
Senior level
178K-320K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
Monitor and forecast emerging AI misuse and strategic threats via mixed qualitative and quantitative methods. Build and maintain harm taxonomies, risk registers, and early-warning metrics. Translate findings into prioritized mitigation proposals, dashboards, and executive briefings. Run scenario analyses, tabletop exercises, and benchmark risk posture to inform product and safety decisions.
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