Rogo

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.