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Top Engineering Jobs in San Francisco, CA

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Hybrid
San Francisco, CA, USA
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180K-264K Annually
Mid level
180K-264K Annually
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
As a Full-Stack Engineer, you will build and support production services, develop user interfaces, and collaborate with teams to enhance the Grammarly product.
Top Skills: Full-Stack DevelopmentInfrastructure As CodeWeb Client Development
Reposted 4 Hours AgoSaved
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Remote or Hybrid
2 Locations
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103K-306K Annually
Senior level
103K-306K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Develop new products and features, improve existing offerings, enhance UX/UI, ensure code quality, and utilize AI to improve productivity.
Top Skills: ElectronGoGCPPostgresReactTypescript
Reposted 2 Days AgoSaved
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Hybrid
San Francisco, CA, USA
Easy Apply
298K-416K Annually
Mid level
298K-416K Annually
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Lead and grow the Growth Platform engineering team to drive acquisition, activation, and retention for Superhuman's AI products. Collaborate with Product, Marketing, and Data to design, build, and scale experimentation frameworks and growth systems, participate in technical and architectural decisions, and mentor engineers to foster a high-impact culture.
Reposted 6 Days AgoSaved
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Hybrid
San Francisco, CA, USA
Easy Apply
214K-260K Annually
Senior level
214K-260K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
As a Site Reliability Engineer, you'll build software to ensure system reliability, scale infrastructure, and deploy ML systems while collaborating with cross-functional teams.
Top Skills: AWSAzureDockerGCPJavaKubernetesLinuxTerraform
Reposted 7 Days AgoSaved
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Hybrid
San Francisco, CA, USA
Easy Apply
298K-416K Annually
Mid level
298K-416K Annually
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Lead and grow a full‑stack engineering team building enterprise capabilities for an AI assistant: admin and security controls, integrations, deployment/provisioning, and scalable, secure systems while partnering with cross‑functional teams and customers.
Top Skills: APIsBack-End DevelopmentComplianceData GovernanceFront-End DevelopmentHigh AvailabilityObservabilityRole-Based AccessScimSecuritySsoTesting PracticesWeb Development
8 Days AgoSaved
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
298K-416K Annually
Senior level
298K-416K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Lead the Formula Engine team, guiding technical direction, managing performance optimization, and collaborating cross-functionally to enhance Superhuman Docs' computational capabilities.
Top Skills: Compiler DesignHigh-Performance Runtime SystemsOptimizationProgramming Language ImplementationQuery Planning
Reposted 11 Days AgoSaved
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Hybrid
San Francisco, CA, USA
Easy Apply
220K-270K Annually
Expert/Leader
220K-270K Annually
Expert/Leader
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
The Senior Engineer will architect and lead development on data systems, ensuring scalability and efficiency while collaborating with cross-functional teams.
Top Skills: AirflowBigQueryDagsterDbtDelta LakeJavaKafkaPythonRedshiftScalaSnowflakeSparkSQLTerraform
Reposted 11 Days AgoSaved
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Remote or Hybrid
2 Locations
Easy Apply
101K-306K Annually
Senior level
101K-306K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
The Software Engineer will design and scale back-end systems, improve features, ensure system reliability, and collaborate across teams while focusing on performance and security.
Top Skills: GoGCPKubernetesPostgresPythonRedisTypescript
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