Applied Research Intern, Proactive Intelligence & Customer World Models

What you'll do

• Own a research problem end-to-end from framing the question to shipping into production systems.
• Build rich customer representations from event streams, financial activity, and behavioral data.
• Develop systems to anticipate customer needs and initiate proactive actions.
• Design agents capable of multi-step reasoning and autonomous workflow execution.
• Create methods for continuous learning from real-world outcomes using reinforcement learning.
• Build evaluation frameworks to predict real-world performance, trust, and customer value.
• Translate independent research ideas into working systems using Python and PyTorch or JAX.

What we're looking for

• Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field.
• Must be returning to the graduate program after the co-op.
• Strong foundations in deep learning, optimization, representation learning, and foundation models.
• Experience conducting independent research and translating ideas into working systems.
• Fluency in Python and experience with PyTorch, JAX, or similar frameworks.
• Evidence of research excellence through publications, open-source contributions, technical leadership, or equivalent work.
• Experience with large language models and agentic systems (preferred).
• Experience with reinforcement learning, reward modeling, or sequential decision-making (preferred).