Staff Machine Learning Engineer
Prefer a full account with a password? Sign Up to Apply
Job Description
What you get to do in this role:
Job Description
This is a dynamic role where you will drive quality and development excellence across the entire software development lifecycle, from initial design and coding to comprehensive test automation and deployment. You will be responsible for both building high-quality product features and ensuring their reliability, scalability, and performance.
The Team
Come join the AI Search UX team and work with a talented group of engineers building out next-generation technologies in the ServiceNow cloud platform. This team is responsible for the cognitive, actionable search functionality and machine learning-based relevancy that help make ServiceNow a powerful platform used by many Fortune 500 companies.
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.
• Build the best cloud-based AI/ML solutions to power intelligent enterprise services
• Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
• Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users
Requirements
Department: Engineering, Infrastructure and Operations
Function: Engineering
Experience Level: Not Applicable