Top AI & Machine Learning Jobs

Develop and deploy scalable machine learning models, statistical analysis services, and AI features. Build robust microservices and data pipelines for complex, multimodal data, while collaborating with product and engineering teams. Responsibilities include architectural discussions, design reviews, prototyping, model optimization, feature development, and evaluating emerging ML tools and techniques.

Own the strategy, roadmap, architecture, and lifecycle for Qualtrics’ Core AI Understand layer. Lead capabilities spanning semantic systems, text analytics, prediction, simulation, benchmarking, agent infrastructure, retrieval, evaluation, observability, model infrastructure, governance, and safety. Partner with engineering, AI research, data science, design, product teams, and enterprise customers to define requirements, prioritize investments, measure quality and impact, and deliver reusable AI foundations across the company.

Lead design and development of scalable AI architectures and frameworks, collaborate with research and product teams, deploy and optimize ML/LLM systems in production, guide ML platform strategy, perform code reviews, mentor engineers, and evaluate emerging AI technologies for business impact.

Lead research and engineering of production-grade ML/AI models (NLP, generative and agentic systems). Design, evaluate, and deploy scalable models, implement evaluation-driven development, mentor junior scientists, collaborate with product and engineering, and embed observability and CI/CD benchmarking to ensure reliable, ethical, and high-impact AI features.

Lead research and productization of ML/AI solutions across Qualtrics: design, train, fine-tune, evaluate, and deploy generative and agentic models. Collaborate with product and engineering, mentor junior scientists, implement evaluation-driven development, and ensure production reliability, scalability, and observability.

Design, research, implement, evaluate, and productionize advanced ML and GenAI solutions (LLMs, NLP, CV, reinforcement learning). Collaborate with engineers and product managers, publish research, and build scalable, ethical agentic AI systems and model lifecycle management for enterprise products.

Research, develop, and productize scalable AI/ML and GenAI solutions (LLMs, NLP, agentic systems). Build, evaluate, optimize, and deploy deep learning models, collaborate with engineers and product teams, publish research, and contribute to Conversational AI and data science roadmaps.

Lead development of a Semantic Brain: map raw event logs to industry ontologies, build concept/identity-anchored graphs, design reward extraction and off-policy evaluation, deploy agentic LLM orchestration and scalable data pipelines to enable autonomous enterprise decisioning.

Lead strategy and execution to evolve a mature text analysis engine into a hybrid LLM/classical ML architecture. Manage and mentor a team of product managers, partner with applied science and engineering, define multi-year roadmaps, establish evaluation frameworks, and balance cost, latency, accuracy, and compliance while driving scalable text analytics across the Qualtrics platform.