# Researcher, Multimodal Safety

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** AI Research
**Salary:** $295k – $445k/yr
**Skills:** vision-language models, multimodal reasoning, Computer Vision, natural language processing, video understanding, image generation, audio processing, post-training, supervised fine-tuning, Reinforcement Learning, synthetic data, modality fusion, cross-modal reasoning, Model Evaluation, error analysis
**Posted:** 2026-08-03

> Conducts research to improve the safety of multimodal AI systems spanning text, vision, and audio. The role requires experience building multimodal models, post-training frontier systems, designing safety evaluations, and translating research findings into reliable model behavior.

## Job Description

## Responsibilities
- Define and advance multimodal safety research for text, vision, and audio, connecting perception and semantic understanding to safe model behavior.
- Build training and evaluation methods for vision-language models (VLMs), including post-training, safety evaluations, and interventions that help models respond safely and appropriately in varied contexts.
- Collaborate with research, product, and model teams to translate research into safer ambient, embedded, and personalized multimodal experiences.

## Requirements
- Track record of building or advancing multimodal models, with depth in vision-language models, video understanding, image generation, audio, or multimodal reasoning.
- Fluency across both perception and language.
- Understanding of multimodal systems end to end, including encoders, projection layers, modality fusion, cross-modal reasoning, scaling, and inference tradeoffs.
- Experience improving frontier model behavior through post-training using methods such as supervised fine-tuning, reinforcement learning, data curation, synthetic data, evaluation, and rigorous error analysis.
- Strong research and engineering judgment for open-ended safety problems, including forming testable hypotheses, designing experiments and evaluations, diagnosing model failures, and translating findings into robust improvements.

## Compensation and Benefits
- Hybrid work model with 3 days in the office per week.
- Relocation assistance is available to new employees.

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