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Machine Learning Engineer

Salary

$99k - $187k

Min Experience

0 years

Location

Seattle, Washington, United States

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&D strategy to the next level. Our goal is to personalize the Qualtrics experience using ML and AI features showcasing Qualtrics data as a core value proposition and competitive advantage. You should love building simple solutions to solve hard customer problems. Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work! Work in a supportive environment enables individual growth and achievement of team goals Collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to our customers Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models Implement new features and optimize existing ones to delight our customers Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.

About the company

At Qualtrics, we create software the world's best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

Skills

java
c#
python
machine learning
deep learning