Careers - Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)

Block

Remote

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Work type
Remote
Location
Canada
Employment
Intern
Posted
4 days ago

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Similar $180k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $152,150–$208,800.

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About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 221 open roles on FindRole.

Listed pay typically runs $189,000–$283,600 across 56 roles with salary data.

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TL;DR · Careers - Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)

As part of Apollo's Block Applied R&D team, you will join as a graduate student intern (MS or PhD) for an 8-month co-op starting in September 2026. Your role involves building the Customer World Model (CWM), which aims to create proactive intelligence systems that understand and anticipate customer needs. Day-to-day tasks include developing methods for rich customer representations, creating systems that initiate helpful actions proactively, and designing agents that reason over complex data to make informed decisions. You will work with Python, PyTorch, JAX, and other ML frameworks while tackling challenges in representation learning, reinforcement learning, causal reasoning, and product intelligence. This role requires a strong background in machine learning, experience with independent research, and the ability to translate ideas into practical systems, all within the context of developing cutting-edge AI technologies that directly impact customer outcomes at scale.

What you'll do

  • Develop rich representations of customers using event streams and behavioral data.
  • Design systems that anticipate customer needs and initiate helpful actions proactively.
  • Build agents capable of reasoning over complex customer world models in real environments.
  • Create methods for continuous learning from real-world outcomes and feedback loops.
  • Construct evaluation frameworks to predict performance, trust, and value for customers.

What we're looking for

  • Currently enrolled in an MS or PhD program and returning after the co-op.
  • Strong foundations in modern machine learning including deep learning and optimization.
  • Experience conducting independent research and developing working systems.
  • Fluency in Python with experience using PyTorch, JAX, or similar frameworks.
  • Evidence of research excellence through publications or open-source contributions.
  • Interest in building AI systems that understand people and improve over time.

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