Personalized AI Research Engineer (Hybrid, Relocation)

OpenAI; California (MO); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid work model (3 days in office)

Job summary

OpenAI in San Francisco seeks ML engineers and researchers to advance personalization and model behavior across our products. The role emphasizes product-driven research and collaboration with the Personal AGI team.

The position involves building evaluation pipelines, exploring reinforcement learning and reward modeling, and delivering innovative methods in a hybrid work setting with relocation support.

Qualifications

• Strong ML engineering skills and research experience.
• Experience with reinforcement learning and reward modeling.
• Willing to dive into large ML codebases to debug issues.

Responsibilities

• Conduct research around personalization, personality, and model behavior by leveraging and developing tools such as synthetic data, reward modeling, and reinforcement learning.
• Build robust evaluations and model training pipelines to facilitate our research.
• Innovate new post-training methods.

Job description

OpenAI in San Francisco seeks ML engineers and researchers to advance personalization and model behavior across our products. The role emphasizes product-driven research and collaboration with the Personal AGI team.

The position involves building evaluation pipelines, exploring reinforcement learning and reward modeling, and delivering innovative methods in a hybrid work setting with relocation support.