Qualtrics, the leader in customer experience and creator of the Experience Management (XM) category, is changing the way organizations manage and improve the four core experiences of business––customer, employee, product, and brand. Over 11,000 organizations around the world are using Qualtrics to listen, understand, and take action on experience data (X-data™)––the beliefs, emotions, and intentions that tell you why things are happening, and what to do about it.
The Qualtrics XM Platform™ is a system of action that helps businesses attract customers who stay longer and buy more, engage employees who build a positive culture, develop breakthrough products people love, and build a brand people are passionate about. Join us as we help change the way people experience the world! Advance your career at a company that is dedicated to your ideas and growth, fills you with purpose, and provides a fun, inclusive work environment.
The Challenge
We are looking for engineers to bring our predictive analytics to the next level. Our customers want to understand how certain data pieces impact key metrics for their success. This role will be leveraging machine learning and artificial intelligence to deliver that.
As a Machine Learning software engineer at Qualtrics, 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!
In addition, you will:
- 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
- Develop scalable, fast, robust, and best-in-class solutions to solve complex business problems
- Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers
- Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity
- Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers
- Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.
- Finding quick ways to prototype and test possible solutions to large problems
Basic Qualifications
- Bachelor’s degree in Computer Science or related fields.
- Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance
- Programming experience with at least one modern programming language such as Java, C# or Python, including object-oriented design
- CI/CD deployment automation experience with scripting, Chef, Jenkins, Puppet, etc.
- Interest in modern machine learning / deep learning systems
- Ability to work both independently on ambiguous problems and in highly collaborative team environments
- Deep understanding of machine learning model life cycle management
- Experience developing cloud-based software services and an understanding of design for scalability, performance and reliability
- Experience in machine learning systems (e.g. SageMaker, MLFlow, Kubeflow), and/or deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc)
Preferred Qualifications
- Experience with technical communications with both technical and non-technical peers
- The ability to define system architecture and explore the feasibility of various designs
- Experience with workflow management tools, e.g. Airflow
