Staff Applied Scientist
Core
Drive the next level of Machine Learning and AI R&D and strategy to personalize the Qualtrics experience using ML/AI features as a core value proposition.
Role type
Staff Applied Scientist (GenAI/ML Research & Strategy)
Builds
Scalable GenAI applications, agentic systems, and production ML models for diverse global clientele.
Domain
Experience Management, Generative AI, Machine Learning
Deliverable
production ML models | product features
Required skills
Machine learning, Natural language processing, Computer vision, Reinforcement learning, Supervised and unsupervised learning, Generative AI, Deep learning, Model lifecycle management, Evaluation strategies for agentic systems, Python programming, Deep learning frameworks (TensorFlow, PyTorch, MxNet)
Preferred skills
Publication record in top-tier ML/NLP conferences, Experience with production quality large-scale deployment, Observability tools, CI/CD pipeline benchmarking
Technologies
TensorFlow, PyTorch, MxNet, SageMaker, MLFlow
Responsibilities
Research, implement, evaluate, optimize, productize, and maintain cutting-edge ML models; Lead design reviews and modeling discussions; Mentor junior scientists and drive best practices for experimentation and lifecycle management; Champion Evaluation-Driven Development (EDD) with automated testing and production monitoring; Present research findings to the broader community.
Seniority
Staff, hands-on IC with mentorship and strategy
