Applied Research Intern (AI)

TL;DR

Applied Research Intern (AI): Building the Customer World Model (CWM) to enable proactive intelligence across hirify.global's ecosystem with an accent on representation learning and agentic systems. Focus on developing systems that anticipate customer needs, reason over evolving states, and learn continuously from outcomes.

Location: Remote (Must be based in the US or Canada)

Company

hirify.global builds technology to increase access to the global economy through brands like Square, Cash App, and Afterpay.

What you will do

• Own research problems end-to-end from framing and experimentation to shipping production systems.
• Build rich representations of customers using event streams, financial activity, and behavioral data.
• Develop proactive intelligence systems for opportunity detection and next-best-action implementation.
• Design agentic decision systems capable of multi-step reasoning and autonomous workflow execution.
• Create evaluation frameworks to predict real-world performance, trust, and customer value.
• Implement reinforcement learning methods to continuously improve intelligence from feedback loops.

Requirements

• Currently enrolled in an MS or PhD program (CS, ML, Statistics, Mathematics, or related) and returning to the program after the co-op.
• Strong foundations in deep learning, optimization, and representation learning.
• Proven experience in independent research and translating ideas into working systems.
• Proficiency in Python and experience with PyTorch, JAX, or similar frameworks.
• Evidence of research excellence through publications, open-source contributions, or technical leadership.

Nice to have

• Experience with large language models (LLMs) and agentic systems.
• Knowledge of 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.

Culture & Benefits

• Direct mentorship from researchers working on the future of proactive intelligence.
• Access to frontier models, large-scale datasets, and substantial compute resources.
• Opportunities to publish research and contribute to open-source projects.
• Remote work, medical insurance, and retirement savings plans.
• Flexible time off and modern family planning options.