About the role
You will define the research agenda for models that can launch and manage companies successfully.
You’ll work across reasoning, post-training, continual learning, evals, and agent reliability, with the goal of making Eico’s systems better at finding demand, acquiring customers, delivering work, and turning capital into verified revenue. Research at Eico stays close to the product: the best ideas should improve the agents, the datasets, and the market-like evals we are known for.
We are hiring a small number of unusually strong technical people early, and this role should help set the research and technical bar for the company.
What you’ll own:
- Research directions across agent capability, post-training, continual learning, evaluation, and company-building performance.
- Datasets built from real company-building traces: demand discovery, customer acquisition, delivery, support, revenue, failure, and verification.
- Training, post-training and continual learning of Eico models in house: fine-tuning, SFT, RL, reward modeling, preference data, synthetic data, tool-use learning, and related methods.
- Market-like evals that test whether agents can find something worth doing, acquire a customer, deliver value, recover from failure, and produce verified outcomes.
- Agent backends and harnesses for the product, working closely with AI engineers, software engineers, and incubation teams.
- Public-facing research: papers, blog posts, technical reports, Twitter / X, podcasts, conferences, and the ideas Eico is known for.