Block
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Toronto, Ontario , Canada +1 · Remote · Internship · Posted Jun 9, 2026
- Location
- Toronto, Ontario , Canada
CA - ON - Toronto - Remote - Education
- 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.
About the job
Conduct end-to-end research to build and evaluate customer world models and proactive AI systems, with successful work potentially deployed in Block products.
What you'll do
- Frame research problems, develop methods, run experiments, and publish findings.
- Build customer representations and systems for proactive decisions, agentic actions, and learning from feedback.
- Develop evaluation frameworks for real-world performance, trust, and customer value.
What they ask for
- Currently enrolled in an MS or PhD program in a relevant field and returning 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, reinforcement learning, reward modeling, or sequential decision-making.
- Experience with representation learning for structured, temporal, or graph data, or familiarity with large-scale training and production ML systems.
Tools
Python, PyTorch, JAX
AI focus
Build customer world models and proactive intelligence, including agentic decision systems, feedback-driven learning, and evaluation.
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