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Build the research engine.

We're a small, tight-knit team scaling autonomous research inside markets. The orchestrator, the agents, and the compounding knowledge base are already discovering profitable strategies and scaling with each new model release. We're hiring founding engineers to build the systems, models, and infrastructure behind that loop. These are founding roles with competitive salary and equity.

Markets are the first domain because the feedback is immediate, verifiable, and directly monetizable. The work is bigger than trading: we're building infrastructure for autonomous problem-solving. What we're building doesn't stop at markets.
FOUNDING ROLE

Research Engineer

You build the research loop. Design how agents explore, evaluate, remember, and improve — then train the models that make them better. You'll work at the intersection of cutting-edge AI and quantitative finance, building the processes that enable agents to autonomously discover, test, and refine quantitative strategies.

YOU MIGHT WORK ON
Agent workflows for hypothesis generation, evaluation, and memory
Model training and feature discovery on proprietary market data
Backtesting and validation systems with regime-aware evaluation
Knowledge systems that compound across thousands of sessions
DETAILS
Stack: Python, PyTorch, proprietary feature discovery, model fitting and backtesting infra Location: San Francisco (in-person) Comp: Competitive salary + meaningful founding equity
careers@ehl.markets →
FOUNDING ROLE

Infrastructure Engineer

You build the platform the agents run on. Design the orchestration layer, data pipelines, observability, and trading systems that make continuous research possible. This is distributed systems for autonomous AI research.

YOU MIGHT WORK ON
Compute scheduling and resource allocation for concurrent agent runs
Streaming market data pipelines and research data infrastructure
Agent observability, experiment tracking, and reproducibility
Execution systems that connect research outputs to trading decisions
DETAILS
Stack: Python, Go, Kubernetes, streaming data, low-latency systems Location: San Francisco (in-person) Comp: Competitive salary + meaningful founding equity
careers@ehl.markets →