Rogo

AI Researcher

San Francisco, California, United States

Not SpecifiedCompensation
Junior (1 to 2 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Artificial IntelligenceIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science or a related field, and a minimum of 3-6 years of experience in large language model training or post-training, or an equivalent Ph.D. They should be highly proficient in writing LLM training code using PyTorch or JAX, and demonstrate strong programming skills and general Computer Science knowledge. Experience working directly in training or post-training LLMs at a frontier lab is a bonus, as is experience with deep reinforcement learning and financial services experience.

Responsibilities

As an AI Researcher at Rogo, you will be responsible for architecting end-to-end learned systems combining LLMs and Reinforcement Learning to automate financial workflows, designing and building large-scale infrastructure for evaluating answer quality, partnering with product managers and engineers to ensure user value, and raising the bar for code quality and velocity. You will also collaborate to push technical and interpersonal development, and directly feed data back into learned systems as a reward.

Skills

PyTorch
JAX
Large Language Models (LLMs)
Reinforcement Learning
Python programming
Infrastructure design
Data evaluation
Model training
Computer Science fundamentals

Rogo

Generative AI platform for financial institutions

About Rogo

Rogo provides a secure generative AI platform tailored for elite financial institutions, including investment banks, hedge funds, and asset management companies. The platform utilizes advanced large language models to search, analyze, and cite millions of documents, significantly reducing the time spent on manual research. This allows junior team members to focus on more valuable tasks while enabling executives to quickly access critical information. Rogo's business model centers on customizing its AI solutions to meet the specific needs of each client, ensuring that the platform understands the unique language and data of their operations. Revenue is generated through subscription fees and additional services like customization and support. The main goal of Rogo is to enhance productivity and decision-making in financial institutions, helping them save time, improve insights, and automate workflows.

New York City, New YorkHeadquarters
2021Year Founded
$29.2MTotal Funding
SERIES_ACompany Stage
Fintech, AI & Machine LearningIndustries
11-50Employees

Risks

Increased competition from established fintech companies like Palantir and Bloomberg.
Potential over-reliance on third-party data providers like Quartr.
Regulatory scrutiny on AI-driven financial platforms is intensifying.

Differentiation

Rogo offers a bespoke AI solution tailored to each financial institution's needs.
The platform integrates and analyzes data from both internal and external sources.
Rogo's AI can search, analyze, and cite millions of documents efficiently.

Upsides

Rogo raised $18.5M in Series A funding led by Khosla Ventures.
Partnership with Quartr enhances Rogo's analysis tools for investment bankers.
Rogo's AI automates workflows, saving time and improving decision-making.

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