Job Description: Machine Learning Engineer at Qualtrics
About Qualtrics
Qualtrics creates software that top brands use to deliver exceptional frontline experiences, build high-performing teams, and design beloved products. As a pioneer in the Experience Management category, they serve over 18,000 clients globally. The company values grit, determination, and innovative teams dedicated to customer service.
Team Environment
- Empowered, nimble teams with aggressive goals
- Collaborative problem-solving culture
- Growth opportunities in various sectors like retail, government, and healthcare
- Mission-driven organization focusing on humanity, connection, and empathy
Role Overview
Position: Machine Learning Engineer
Why We Have This Role
- Enhance ML and AI R&D strategy
- Personalize the Qualtrics experience with ML and AI features
- Showcase data as a core value and competitive edge
- Build simple solutions to complex customer problems
- Develop systems that support hyper-growth
- Own quality from end to end
Success Factors
- Supportive environment for growth and achievement
- Collaboration with peers and prioritization of features
- Develop scalable, robust microservices for statistical analysis and ML model deployment
- Implement and optimize features to delight customers
Growth Opportunities
- Implement, tune, and productize cutting-edge machine learning models
- Build scalable data pipelines for complex, multi-modal data
Responsibilities
- Collaborate with specialists, tech-ops, and product managers
- Lead design reviews, architecture discussions, and technical activities
- Participate in daily stand-ups
- Prototype and test solutions for complex problems
Qualifications
- Bachelor’s degree in Computer Science or related fields
- Interest in modern ML/deep learning systems
- Strong CS fundamentals: algorithms, complexity, performance
- Experience in Java, C#, or Python
- Experience with applied ML models and large-scale systems
About DICE Team
- Provides AI/ML research and development services
- Builds core ML infrastructure
- Partners with application teams for ML algorithms
Perks & Benefits
- $1800 Experience bonus
- Unlimited Sick Days
- Active QGroup Communities for support and advocacy
- Hybrid work model (3 days in-office, 2 days remote)
Equal Opportunity & Accessibility
- Committed to inclusion and diversity
- Reasonable accommodations for persons with disabilities
Additional Info
- Sign-on bonus and stock options may be included
- Salary Range (Washington State): $99,500—$187,000 USD
Job Highlights
Qualifications
- Building scalable systems consistent with hyper-growth
- Bachelor’s in Computer Science or related field
- Interest in ML / deep learning
- Strong CS fundamentals
- Programming experience in Java, C#, or Python
- Experience with ML models and large systems
Benefits
- $1800 Experience bonus
- Unlimited Sick Days
- Supportive communities including MOSAIQ, Green Team, and more
- Competitive salary range
- Sign-on bonus and stock options
Responsibilities
- Solve hard customer problems with simple solutions
- Collaborate and prioritize features
- Develop and optimize microservices
- Build and maintain data pipelines
- Implement and tune ML models
- Lead design and architectural discussions
- Agile collaboration and quick prototyping