AI researcher

ROGO LLC
San Francisco, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
San Francisco, United States of America

Tech stack

Java
Artificial Intelligence
Backup Devices
C++
Software Quality
Computer Programming
Reinforcement Learning
PyTorch
Large Language Models
Build Management
Information Technology

Job description

  • 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

Requirements

  • 3-6 years of experience working on large language model training or post-training (or equivalent PhD)
  • Experience with a strongly typed language (e.g., Rust, C++, or Java)
  • Highly proficient in writing LLM training code in PyTorch or JAX
  • Bachelors in Computer Science or related degree
  • Strong programming skills and general Computer Science knowledge
  • 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
  • You are curious. You find joy in learning about AI, technology, and finance
  • You are collaborative, organized, and thoughtful
  • 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 an owner. You are autonomous, self-directed, and comfortable working with ambiguity
  • You are ambitious. You have fun solving problems that others think are impossible

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