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8 Days AgoSaved
In-Office
San Francisco, CA, USA
160K-300K Annually
Mid level
160K-300K Annually
Mid level
Artificial Intelligence • Cloud • Hardware • Software
The Senior / Staff Infrastructure Engineer will design and manage infrastructure for AI platforms, ensuring security, reliability, and scalability in cloud deployments. Responsibilities include deploying hybrid solutions and implementing infrastructure-as-code.
Top Skills: AWSAzureCi/CdDockerGCPHelmKubernetesPulumiTerraform
8 Days AgoSaved
In-Office
San Francisco, CA, USA
120K-180K Annually
Mid level
120K-180K Annually
Mid level
Artificial Intelligence • Cloud • Hardware • Software
As a Lead Deployment Strategist, you'll address manufacturing challenges by deploying AI solutions, collaborating with stakeholders, and translating data into actionable insights.
Top Skills: PythonR
8 Days AgoSaved
In-Office
San Francisco, CA, USA
150K-300K Annually
Senior level
150K-300K Annually
Senior level
Artificial Intelligence • Cloud • Hardware • Software
The Senior / Staff Frontend Engineer will design and implement high-quality UI components for a web application, focusing on data visualization and collaboration with design and backend teams. Responsibilities include mentoring, shaping frontend strategy, and maintaining best development practices.
Top Skills: D3JavaScriptReactReduxStorybookTypescriptVisxZustand
8 Days AgoSaved
In-Office
San Francisco, CA, USA
160K-300K Annually
Mid level
160K-300K Annually
Mid level
Artificial Intelligence • Cloud • Hardware • Software
Design, build, and scale core backend systems; manage services and APIs for engineering data streams, ensuring performance and compliance.
Top Skills: AWSAzureDockerGCPKubernetesPythonRestful Apis
8 Days AgoSaved
In-Office
San Francisco, CA, USA
110K-170K Annually
Expert/Leader
110K-170K Annually
Expert/Leader
Artificial Intelligence • Cloud • Hardware • Software
As a ML Engineer at Apiphany, you will develop advanced machine learning models, focusing on engineering data, AI systems, and real-world performance.
Top Skills: Deep LearningLarge Language ModelsNatural Language ProcessingPython
8 Days AgoSaved
In-Office
San Francisco, CA, USA
136K-160K Annually
Entry level
136K-160K Annually
Entry level
Artificial Intelligence • Cloud • Hardware • Software
Develop AI-powered manufacturing applications as a Full-Stack Engineer, integrating real-time AI models with factory systems and creating user-friendly interfaces for operators.
Top Skills: AWSAzureGCPIiotKafkaMesMqttNode.jsOnnxPlcsPythonPyTorchReactScadaTensorFlowTypescript
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