Senior Implementation Engineer
Rad AIFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This is a hybrid role based in Park City, Utah, requiring a minimum of three days per week in the office.
This information is not specified in the job description.
The role requires hands-on experience with AI model training and refinement, software implementation, data annotation and QA, and acting as a technical liaison between clients, Sales, Product, and Engineering teams.
The role offers the opportunity to work alongside C-suite team members in a hybrid setup and involves collaboration across Machine Learning, Sales, Product, and Engineering teams.
Strong candidates will have expertise in leading end-to-end AI model configuration, training, and deployment, experience with complex data annotation and QA, and the ability to serve as a technical expert handling escalations while championing best practices.
AI platform for automating business processes
HyperScience provides an enterprise AI platform that automates business processes using machine learning. The platform is trained by humans, which allows it to perform complex tasks with high accuracy. It serves various clients, including insurance companies, federal agencies, and financial institutions, helping them to significantly speed up processes and reduce costs. For example, it has enabled an insurance provider to process claims 80% faster and helped a federal agency save $45 million annually by automating claims processing with over 96% accuracy. HyperScience operates on a business-to-business model, customizing its platform for each client and charging them for its use. The goal of HyperScience is to enhance efficiency and cost-effectiveness for businesses through the application of AI and automation.