Founding Member of Technical Staff — RL
3 нед. назад
190k–225k USD / годСШАLead
pythonreinforcement learningexperiment design
Build and improve real-world agent environments, benchmarks and autonomous company blueprints using reinforcement learning.
О компании
- is building autonomous companies: agent systems capable of operating real businesses end to end.
- We release autonomous company templates and benchmarks, alongside a studio—where users can deploy and operate these systems. Our infrastructure platform, Vetta, powers long-running, high-volume agent workloads.
- We’ve raised $28.5M from Nexus Venture Partners, Y Combinator, Zetta Venture Partners, Liquid 2 and leading operators.
Обязанности
- Build real-world agent environments, benchmarks and autonomous company blueprints—and make Vetta the best-performing agent within them. Accordingly, as a founding MTS member, you have the chance to earn significant equity in a fast growing Series A company.
- Turn complex business workflows into reproducible agent environments
- Design tasks, rewards, evals and benchmarks that measure real outcomes
- Build production-ready autonomous company blueprints
- Run experiments, analyze failures and improve agent performance
- Develop training data and optimization loops from agent trajectories
- Publish credible benchmarks, technical reports and demos
Требования
- Strong Python and research-engineering ability
- Experience building agents, evals or RL environments
- Deep understanding of tool use, long-horizon tasks and LLM failure modes
- Ability to design rigorous experiments and ship production systems
- High agency and comfort working on ambiguous 0→1 problems
Будет плюсом
- RL or post-training experience
- Browser, coding or computer-use agent experience
- Experience publishing benchmarks or technical research
- Familiarity with distributed agent infrastructure
- P.S. If you’ve made it to the bottom of this listing and are serious about every point on this role, send Sean a LinkedIn connect with a note.