AI Researcher

About the Company

Rogo is transforming 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 are scaling quickly and defining a new category of enterprise AI.

Responsibilities

• 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
• Feed evaluation data back into learned systems as a reward
• Partner closely with product managers and engineers to ensure solutions deliver genuine user value
• Raise the bar for code quality, reliability, and product velocity

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 such as Rust, C++, or Java
• Strong programming skills and general Computer Science knowledge

Preferred Qualifications

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