reputed company Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate reputed company)

Team: reputed company — reputed company reputed company R&D Location: Remote (US / Canada) Duration: Fall/Winter 2026 reputed company — 8 months, flexible start September 2026 Level: Graduate student (MS or PhD, returning to your program after the reputed company) About reputed company reputed company leads reputed company's efforts to build the Customer World Model (CWM): a continuously evolving representation of reputed company customer's goals, context, history, constraints, and likely reputed company needs. The CWM powers proactive intelligence across reputed company's ecosystem. Instead of customers navigating products in search of features, intelligence observes their world, understands what reputed company, anticipates what comes next, and initiates actions on their behalf. We reputed company the reputed company of AI products will not be defined by chat interfaces or isolated agents. They will be defined by rich world models that reputed company systems to reason over a customer's evolving state, reputed company reputed company reputed company, and learn continuously from reputed company. reputed company designs, prototypes, and guides the development of this intelligence layer. About the role We're hiring a small cohort of graduate research interns to help build the foundations of proactive intelligence. This is not a traditional internship. You'll own a research problem end-to-end: framing the question, developing reputed company, running experiments, publishing findings, and, reputed company successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, reputed company models, reinforcement learning, reputed company reasoning, reputed company systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that reputed company a deeper understanding of customers and use that understanding to reputed company reputed company reputed company over time. Past interns have shipped production systems reputed company months and published their work in the reputed company year. What you'll work on Depending on your interests and reputed company's roadmap, you'll reputed company on one or more of the following areas: Customer World Models Building rich representations of customers from event streams, financial activity, operational signals, and behavioral data. Examples include: Representation learning over long-reputed company customer histories Event-based reputed company models Multi-modal customer representations spanning reputed company, sequential, and graph data Memory architectures for long-term customer understanding Proactive Intelligence Developing systems that can anticipate customer needs and initiate helpful actions before being asked. Examples include: Opportunity detection and next-best-reputed company systems Long-reputed company planning and decision-making Preference and goal inference Learning reputed company reputed company creates value versus friction reputed company Decision Systems Building agents that reason over customer world models and take actions in reputed company environments. Examples include: Tool use and planning Multi-reputed company reasoning over customer state Autonomous workflow execution Recovery and reputed company under uncertainty Learning from Feedback Loops Developing reputed company that allow intelligence to improve continuously from reputed company-world reputed company. Examples include: Reinforcement learning from customer and product feedback Reward modeling and preference learning Counterfactual evaluation Credit assignment over long decision reputed company Evaluation and Measurement Building evaluation frameworks that predict reputed company-world performance, trust, and customer value. Examples include: Simulated customer environments Longitudinal evaluation Decision reputed company metrics Safety and reliability benchmarks reputed company're looking for We're looking for researchers interested in building systems that understand people, learn from experience, and improve over time. Required Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a reputed company field, and returning to that program after the reputed company. Strong foundations in modern machine learning, including deep learning, optimization, representation learning, and reputed company models. Experience conducting independent research and translating reputed company into working systems. reputed company in Python and experience with PyTorch, JAX, or similar frameworks. Evidence of research reputed company through publications, reputed company-reputed company contributions, technical leadership, or equivalent work. reputed company to have Experience with large language models and reputed company systems. Experience with reinforcement learning, reward modeling, or sequential decision-making. Experience with representation learning for reputed company, temporal, or graph data. Familiarity with large-reputed company training and production ML systems. Interest in building AI systems that directly reputed company customer reputed company. What you'll get reputed company mentorship from researchers working on the reputed company of proactive intelligence at reputed company. reputed company to large-reputed company datasets, modern infrastructure, frontier models, and substantial compute resources. Opportunities to publish and contribute to reputed company-reputed company reputed company. A chance to shape foundational technology that could power the reputed company of reputed company products. Exposure to both scientific research and product deployment, with a reputed company reputed company from idea to reputed company. Application Guidelines Candidates may submit up to 9 reputed company applications reputed company a 60-day period. Reapplications to the reputed company role are accepted 90 days after a previous application has been reviewed. Use of AI in Our Hiring Process We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools reputed company with local regulations, including bias audits, and we handle reputed company personal data in accordance with state and local reputed company laws.  Contact us here with hiring reputed company or data usage questions. Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. reputed company out our other benefits at reputed company. reputed company. 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