Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Core
Building foundational systems for proactive intelligence by developing customer world models, agentic decision systems, and reinforcement learning frameworks to anticipate needs and execute actions.
Role type
Graduate research intern (MS/PhD)
Builds
Production systems for proactive intelligence and customer world models
Domain
Financial technology, AI, machine learning, agentic systems
Deliverable
production ML models
Required skills
deep learning, optimization, representation learning, foundation models, independent research, Python, PyTorch, JAX
Preferred skills
large language models, agentic systems, reinforcement learning, reward modeling, sequential decision-making, structured/temporal/graph data representation learning, large-scale training systems
Technologies
PyTorch, JAX
Responsibilities
Frame research questions, develop methods, run experiments, publish findings, ship work into production systems, build customer world models, develop agentic decision systems, create evaluation frameworks
Seniority
Graduate student (MS or PhD)
