Senior Applied Scientist
Core
Personalize Qualtrics experience using ML/AI features to showcase data as a core value proposition and competitive advantage.
Role type
Senior Applied Scientist (AI/ML R&D)
Builds
Agentic applications (conversational and non-conversational) and robust builder platforms for custom agents.
Domain
Experience Management / AI & Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Natural language processing, Reinforcement learning, Deep learning, Model lifecycle management, Algorithm optimization, Generative models, Evaluation strategies for agentic systems, Python programming, Deep learning frameworks (TensorFlow, PyTorch, MxNet)
Preferred skills
Publication record in top-tier ML/NLP conferences, Experience evaluating complex multi-turn agentic systems, Observability tools, CI/CD pipeline benchmarking
Technologies
TensorFlow, PyTorch, MxNet, SageMaker, MLFlow
Responsibilities
Research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning 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.
Seniority
Senior, hands-on IC with mentorship responsibilities
