AI Researcher

ScOp Venture Capital LLC.; San Francisco, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Rogo seeks an AI researcher to translate breakthroughs in LLMs and reinforcement learning into transformative financial products for top investment firms. You will architect end-to-end learned systems and build scalable evaluation infrastructure to continuously improve model quality and business value.

You will collaborate with product managers and engineers to ensure solutions deliver real user value, while maintaining high standards of code quality and reliability in a fast-paced startup

Qualifications

• 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 in frontier labs (OpenAI, Anthropic, DeepMind, Meta) and deep reinforcement learning.

Responsibilities

• Architect end-to-end learned systems combining LLMs and RL to automate financial workflows.
• Design and build large-scale infrastructure for evaluating answer and response quality; feed data back as rewards.
• Collaborate with product managers and engineers to ensure solutions deliver user value and meet real needs.
• Raise the bar for code quality, reliability, and product velocity; push for technical and interpersonal growth.

Skills

LLM training

Reinforcement learning

Strong programming

AI research

Education

Bachelor's in CS

Tools

PyTorch

JAX

Rust

C++

Java

Job description

At Rogo, we are building Wall Street's first true AI analyst. Our mission is to empower finance professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We are not just improving financial workflows; we are redefining them from the ground up.

This is a unique opportunity to join a generational company at a key inflection point. With a rapidly growing 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 the mission. We operate with intensity, 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

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?

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.