Rogo
AI Researcher
New York City
Sponsorship not specifiedDetected 449 days ago
JavaC++PyTorchNLPLLMsRobotics
About the role
- We're not just improving financial workflows; we're redefining them.
- This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world.
- We take ownership of complex problems and stay relentlessly focused on our users.
Responsibilities
- You'll own real surface area and watch the world's most sophisticated users rely on your work.
- Design and build large-scale infrastructure for evaluating answer and response quality, and directly feed this data back into learned systems as a reward
- Partner closely with product managers and engineers to ensure every solution you build delivers genuine user value and is guided by real needs
- Collaboratively, you'll push yourself and peers to develop technically and interpersonally.
Requirements
- You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup.
- You are ambitious.
- You have fun solving problems that others think are impossible.
- You are curious.
- You are an owner.
- You are autonomous, self-directed, and comfortable working with ambiguity.
- You are collaborative, organized, thoughtful, and kind.
- There is nowhere else you can work on it at this scale.
- Bachelors in Computer Science or related degree.
- 3-6 years of experience working on large language model training or post-training (or equivalent PhD)
Benefits
- Architect end to end learned systems combining the power of LLMs and Reinforcement Learning to automate entire financial workflows
- Experience with deep reinforcement learning in any context (autonomous vehicles, robotics, or LLMs)
- You find joy in learning about AI, technology, and finance.
Company info
- Rogo has strong product adoption with the world's leading financial institutions, and we are still early.
- The upside is enormous.
This listing is sourced directly from Rogo's careers page and normalized into a canonical job model.