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Rogo

AI Researcher

Reposted 23 Days Ago
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In-Office
San Francisco, CA, USA
Mid level
In-Office
San Francisco, CA, USA
Mid level
As an AI Researcher, you will design and build AI systems using LLMs and Reinforcement Learning for financial applications, ensuring product quality and user value while collaborating with teams.
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Why Rogo

Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. 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. . With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.

Our team is sharp, motivated, and deeply committed to Rogo’s mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.

What You Will Own

As an AI researcher at Rogo, you will be at the cutting edge of translating recent technological breakthroughs into transformative financial products. You will leverage the latest developments in LLMs and Reinforcement Learning – technologies we believe will fundamentally reshape knowledge work – placing you at the heart of this exciting transformation.

  • Architect end to end learned systems combining the power of LLMs and Reinforcement Learning to automate entire financial workflows

  • 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

  • Raise the bar for code quality, reliability and product velocity. Collaboratively, you'll push yourself and peers to develop technically and interpersonally.

What You Will Need
  • Bachelors in Computer Science or related degree.

  • 3-6 years of experience working on large language model training or post-training (or equivalent PhD)

  • Highly proficient in writing LLM training code in PyTorch or JAX

  • Experience with a strongly typed language (e.g., Rust, C++, or Java)

  • Strong programming skills and general Computer Science knowledge

Bonus

  • Experience working directly in training or post-training LLM at a frontier lab (OpenAI, Anthropic, DeepMind, Meta)

  • Experience with deep reinforcement learning in any context (autonomous vehicles, robotics, or LLMs)

  • Experience working with data generated by human experts for model training

  • Financial services experience

Who You Are
  • You thrive in fast-paced environments. 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 find joy in learning about AI, technology, and finance.

  • You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity.

  • You are collaborative, organized, thoughtful, and kind.

Why Join Rogo?
  • Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous.

  • Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance.

  • A one-of-one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale.

  • Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work.

  • Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.

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