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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 methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers. You'll work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence. The goal is not simply to build smarter models, but to build systems that develop a deeper understanding of customers and use that understanding to make better decisions over time. Past interns have shipped production systems within months and published their work in the same year.
Job Responsibility
Own a research problem end-to-end: framing the question, developing methods, running experiments, publishing findings, and, when successful, shipping your work into production systems used by millions of customers and sellers
Work at the intersection of representation learning, foundation models, reinforcement learning, causal reasoning, agentic systems, and product intelligence.
Requirements
Currently enrolled in an MS or PhD program in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field, and returning to that program after the co-op
Strong foundations in modern machine learning, including 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.
Nice to have
Experience with large language models and agentic systems
Experience with reinforcement learning, reward modeling, or sequential decision-making
Experience with representation learning for structured, temporal, or graph data
Familiarity with large-scale training and production ML systems
Interest in building AI systems that directly affect customer outcomes.
What we offer
Remote work
Medical insurance
Flexible time off
Retirement savings plans
Modern family planning
Direct mentorship from researchers working on the future of proactive intelligence at Block
Access to large-scale datasets, modern infrastructure, frontier models, and substantial compute resources
Opportunities to publish and contribute to open-source projects
Exposure to both scientific research and product deployment, with a clear path from idea to impact.