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

3 Days AgoSaved
Hybrid
San Francisco, CA, USA
78K-111K Annually
Senior level
78K-111K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
The Executive Business Partner supports executives by managing schedules, coordinating projects, and optimizing workflows, ensuring alignment with business objectives and enhancing operational efficiency.
Top Skills: GmailGoogle CalendarGoogle DocsGoogle SheetsProject-Based ToolsSlack
3 Days AgoSaved
In-Office
San Francisco, CA, USA
255K-405K Annually
Senior level
255K-405K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
The Data Scientist will lead efforts in measuring safety impacts of AI products, implement statistical methods, and create metrics and dashboards, collaborating with cross-functional teams.
Top Skills: Ai ModelsDashboardsNlpStatistical Methods
3 Days AgoSaved
In-Office
San Francisco, CA, USA
63-70 Hourly
Mid level
63-70 Hourly
Mid level
Artificial Intelligence • Machine Learning • Generative AI
Support executives with calendar management, travel arrangements, expense reports, and event planning, ensuring smooth operations across teams.
Top Skills: Google Suite
3 Days AgoSaved
In-Office
San Francisco, CA, USA
63K-70K Annually
Mid level
63K-70K Annually
Mid level
Artificial Intelligence • Machine Learning • Generative AI
The role involves managing executives' calendars, organizing travel, handling expenses, and coordinating team offsites, requiring strong organizational and communication skills.
Top Skills: Google Suite
Reposted 3 Days AgoSaved
In-Office
San Francisco, CA, USA
295K-445K Annually
Mid level
295K-445K Annually
Mid level
Artificial Intelligence • Machine Learning • Generative AI
The Research Engineer/Scientist will advance AI through innovative RL methods, focusing on training general-purpose agents and enhancing existing ML systems.
Top Skills: AIGenerative ModelsMachine LearningReinforcement Learning
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Reposted 3 Days AgoSaved
In-Office
San Francisco, CA, USA
230K-385K Annually
Mid level
230K-385K Annually
Mid level
Artificial Intelligence • Machine Learning • Generative AI
Lead the development of scalable simulation environments using NVIDIA Isaac Sim, Unity, or Unreal Engine for robotics applications.
Top Skills: CadGpu PipelinesNvidia Isaac SimPhysics EnginesReinforcement-LearningUnityUnreal Engine
Reposted 3 Days AgoSaved
In-Office
San Francisco, CA, USA
239K-265K Annually
Senior level
239K-265K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
The role involves designing and optimizing lifecycle growth initiatives focused on email and notifications to drive user engagement and retention through analytical experiments and collaboration across teams.
Top Skills: APIsBrazeCustomer.IoIterableMarketoSendgrid
Reposted 3 Days AgoSaved
In-Office
San Francisco, CA, USA
347K-490K Annually
Senior level
347K-490K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
Lead the development of finance data infrastructure, focusing on scalable systems, automation, and data pipelines. Manage teams, design data workflows, and partner with senior leaders to enhance operational efficiency and compliance.
Top Skills: AdlsAnaplanSparkKafkaOracle Fusion ErpPythonS3SQLWorkday
Reposted 3 Days AgoSaved
Hybrid
San Francisco, CA, USA
234K-260K Annually
Senior level
234K-260K Annually
Senior level
Artificial Intelligence • Machine Learning • Generative AI
The role involves providing financial insights, guiding B2B financial planning, analyzing trends, building FP&A rigor, and managing budgets, while collaborating with senior B2B leaders.
Top Skills: SQL
Reposted 3 Days AgoSaved
Hybrid
San Francisco, CA, USA
126K-228K Annually
Expert/Leader
126K-228K Annually
Expert/Leader
Artificial Intelligence • Machine Learning • Generative AI
Lead day-to-day hardware and network operations, logistics, and vendor management for global data center campuses. Design scalable repair and material-movement systems, define SLAs and metrics, improve traceability and throughput, coordinate across engineering, construction, and supply chain, and drive operational planning for hyperscale infrastructure growth.
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