Architect of Autonomous Research Platform

TL;DR

Architect of Autonomous Research Platform (AI/Quantitative Trading): Building a self-improving, multi-agent research platform that discovers, evaluates, and deploys trading strategies with an accent on automated scientific discovery, strategy representation, and robust evaluation. Focus on designing research-to-production pipelines, eliminating false alpha, and enabling continuous experimentation and adaptation across simulation and live trading systems.

Location: Canada, the Netherlands, or remote

Company

hirify.global develops an autonomous research platform for discovering and deploying quantitative trading strategies.

What you will do

• Design and build multi-agent research pipelines for generating hypotheses, synthesizing strategies, and running large-scale experiments.
• Define and implement a Strategy DSL and compiler for safe strategy representation across research, simulation, and live trading.
• Create falsification-first evaluation systems to identify overfitting, leakage, and non-robust signals before deployment.
• Develop an alpha memory system that tracks hypotheses, experiments, and outcomes to prevent repeated exploration of invalid ideas.
• Define evaluation metrics covering robustness, regime stability, capacity, execution realism, and novelty.
• Partner with engineering to connect research artifacts with experiment infrastructure, simulation, production trading, monitoring, and continuous adaptation.

Requirements

• Experience architecting complex AI or automated research systems.
• Strong understanding of multi-agent systems, experimentation infrastructure, and quantitative trading workflows.
• Ability to design compilers or domain-specific languages for structured strategy representation.
• Expertise in robust evaluation, backtesting limitations, overfitting, leakage, and signal validation.
• Ability to design systems spanning research, simulation, production deployment, monitoring, and feedback loops.
• Must be based in Canada, the Netherlands, or work remotely within the stated arrangement.

Culture & Benefits

• Work on autonomous AI systems at the intersection of scientific discovery and quantitative trading.
• Own core parts of the research-to-production architecture.
• Build infrastructure designed for scalable, agent-driven exploration and continuous improvement.
• Collaborate closely with engineering across research and production systems.