Phaidra

HQ
Seattle, Washington, USA
43 Total Employees
Year Founded: 2019

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Jobs at Phaidra

Search the 5 jobs at Phaidra

Recently posted jobs

10 Days Ago
USA
Remote
Artificial Intelligence
As a Site Reliability Engineer at Phaidra, you will work in the Infrastructure Engineering team to build and maintain infrastructure that supports AI-powered control systems for industrial automation. You will leverage cloud platforms like AWS, GCP, or Azure, along with Kubernetes and CI/CD practices, while ensuring observability and reliability in the systems you oversee.
Artificial Intelligence
As an AI Controls Solutions Engineer, you will operationalize and scale AI solutions for enterprise data center customers. Responsibilities include creating models for AI agents, working closely with AI research teams and customers to define AI problems, deploying solutions, and collaborating with product teams on requirements.
Artificial Intelligence
As a Senior Software Engineer, you will lead technical efforts in the product team, mentoring peers, improving engineering culture, and driving the technical vision. You will develop scalable services, collaborate with product and architecture teams, contribute to cross-functional initiatives, and ensure operational excellence in deployments and service reliability.
Artificial Intelligence
The Software Engineer (Backend) will develop significant parts of the code base for Phaidra's Data Platform, focusing on building streaming and batch processing components, optimizing data and feature stores, and developing multi-modal APIs. The role requires collaboration across software engineering and data-related processes.
Artificial Intelligence
As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.