AI Researcher

Finance is the engine of the global economy. It decides which ideas get built, which companies rise, and how resources are allocated. Yet it runs on slow tools and outdated technology.

Our mission is to transform finance. We’re building the AI analyst that makes every banker, investor, and executive smarter, faster, and more creative. When finance works better, capital flows more efficiently, innovation accelerates, and progress compounds across the entire economy. We’re not building generic AI. We are purpose-built for financial services, already working with the world’s largest banks, hedge funds, and private equity firms. Ten years from now, every financial institution will run on Rogo.

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.

• 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

• 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.

• Exceptional traction: strong PMF with the world's largest investment banks, hedge funds, and private equity firms.

• World-class team: we take talent density seriously. We like working with incredibly smart, driven people.

• Velocity: we work fast, which means you learn a lot and constantly take on more.

• Frontier technology: we're developing cutting-edge AI systems, pushing the boundaries of reinforcement learning and published research, redefining what's possible, and inventing the future.

• Cutting Edge Product: Our platform is state-of-the-art and crazily powerful. We're creating tools that make people smarter, reinventing finance works.