Research Scientist, Health AI

Full-time

Hybrid

Deadline

November 30, 2024

About the organization

openai-lockup

Open AI

Organization type

Private Sector

In A Nutshell

Location

Hybrid San Francisco, CA, USA

Salary

$295,000 – $440,000

Job Type

Full-time

Experience Level

Mid-level

Deadline to apply

November 30, 2024

Contribute to the development of safe and effective AI models for healthcare applications.

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.

Skillset

  • Have 4+ years of experience with deep learning research and LLMs, especially practical alignment topics such as RLHF, automated red teaming, scalable oversight, etc.
  • Hold a 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.
  • Demonstrate passion for AI safety and improving global health outcomes.
  • Bonus: possess experience in health-related AI research or deployments.

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