# Researcher, Health AI

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** AI Research
**Salary:** $295k – $445k/yr
**Experience:** 4+ years
**Skills:** LLMs, RLHF, Deep Learning, Automated Red Teaming, Scalable Oversight, Ai Safety, Ai Alignment, Health Ai
**Posted:** 2025-01-29

> Develops safe and reliable AI models for healthcare applications using techniques like RLHF, automated red teaming, and scalable oversight. Requires PhD, 4+ years in deep learning/LLM research, and focus on practical AI safety improvements.

## Job Description

## Responsibilities
- Design and apply practical and scalable methods to improve safety and reliability of our models, including **RLHF**, automated red teaming, scalable oversight, etc.
- Evaluate methods using health-related data, ensuring models provide accurate, reliable, and trustworthy information.
- Build reusable libraries for applying general alignment techniques to our models.
- Proactively understand the safety of our models and systems, identifying areas of risk.
- Work with cross-team stakeholders to integrate methods in core model training and launch safety improvements in OpenAI’s products.

## Requirements
- 4+ years of experience with deep learning research and **LLMs**, especially practical alignment topics such as **RLHF**, automated red teaming, scalable oversight, etc.
- **Ph.D.** or other degree in computer science, AI, machine learning, or a related field.
- Stay goal-oriented instead of method-oriented, and are not afraid of unglamorous but high-value work when needed.
- Possess experience making practical model improvements for AI model deployment.
- Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.
- Are a team player who enjoys collaborative work environments.

## Nice-to-haves
- Experience in health-related AI research or deployments.

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