AI Researcher
| Company | Rogo |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
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
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, 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.
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 (autonomous vehicles, robotics, or LLMs)
- Experience working with data generated by human experts for model training
- Financial services experience