AI Researcher
San Francisco
Rogo
Rogo is the secure generative AI (GenAI) platform built for elite financial institutions. Save time, unlock insights and automate workflows in days.We're building Al thought partners to make people smarter and more creative, accelerating the creation and sharing of knowledge in financial services. We're unabashedly ambitious, and we're dead set on building the biggest Financial AI company in the world. Our team is lean, smart, and enormously ambitious. We're growing fast out of our beautiful office in NYC.
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 new challenges.
Frontier technology: we're developing cutting-edge AI systems, pushing the boundaries of 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 how you discover, create, and share knowledge.
About the role
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.
ResponsibilitiesArchitect 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.
Qualifications
Requirements
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 start-up
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, and thoughtful.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Anthropic Computer Science Deep Learning Finance Java JAX LLMs Model training OpenAI PhD PyTorch Reinforcement Learning Research Robotics Rust
Perks/benefits: Salary bonus Startup environment
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