AI Researcher at Rogo

San Francisco, California, United States

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

Skills

Key technologies and capabilities for this role

PyTorchJAXLarge Language Models (LLMs)Reinforcement LearningPython programmingInfrastructure designData evaluationModel trainingComputer Science fundamentals

Questions & Answers

Common questions about this position

What is the salary for the AI Researcher position?

This information is not specified in the job description.

Is this AI Researcher role remote or onsite?

The position is onsite.

What skills are required for the AI Researcher role?

Requirements include a Bachelor's in Computer Science or related degree, 3-6 years of experience in LLM training or post-training (or equivalent PhD), high proficiency in writing LLM training code in PyTorch or JAX, and strong programming skills with general CS knowledge.

What is the company culture like at Rogo?

Rogo features a fast-paced, high-intensity environment with a world-class team prioritizing talent density, velocity in learning and challenges, and a focus on frontier AI technology.

What makes a strong candidate for this AI Researcher position?

Strong candidates thrive in fast-paced environments, are ambitious problem-solvers who are curious, have direct experience training LLMs at frontier labs, and bonus experience in deep RL or financial services.

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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