# Researcher, Multimodal Safety

**Company**: OpenAI
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full time
**Salary**: $295K - $445K
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q124605186

**Apply**: https://jobs.ashbyhq.com/openai/ceef522f-2ee2-49c7-b3a0-2a227e759a72?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_46c64c91-d2e

## Description

## Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $295K – $445K, and total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits include:

- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

- 401(k) retirement plan with employer match

- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

- Mental health and wellness support

- Employer-paid basic life and disability coverage

- Annual learning and development stipend to fuel your professional growth

- Daily meals in our offices, and meal delivery credits as eligible

- Relocation support for eligible employees

- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

## About the Team

OpenAI is at the center of some of the highest-impact multimodal work in AI. ChatGPT serves a massive global audience, and enables diverse interactions via text, speech, and visuals. The Chat and Multimodal Safety team is responsible for ensuring that OpenAI’s increasingly multimodal models and products behave safely across these experiences.

## About the Role

As a Researcher on the Chat and Multimodal Safety team, you will help shape how frontier models perceive and reason the world, and translate that understanding into safe behavior. We're looking for people who combine deep technical expertise with strong safety judgment.

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 VLMs, including post-training, safety evals, and interventions that help models respond safely and appropriately in varied contexts.

- Collaborate closely with Personal AGI, Consumer Devices, and product/model teams to translate research into safer ambient, embedded, and personalized multimodal experiences.

Requirements:

- Have a track record of building or advancing multimodal models, with depth in vision-language models, video understanding, image generation, audio, or multimodal reasoning,and fluency across both perception and language.

- Understand how multimodal systems work end to end, from encoders, projection layers, and modality fusion to cross-modal reasoning, scaling, and inference tradeoffs.

- Have improved frontier model behavior through post-training, using approaches such as SFT, RL, data curation, synthetic data, evaluation, and rigorous error analysis.

- Bring strong research and engineering judgment to open-ended safety problems: you can form testable hypotheses, design decisive experiments and evaluations, diagnose model failures, and translate findings into robust improvements.

## Skills

### Required
- multimodal models
- vision-language models
- post-training
- safety evals
- modal fusion
- cross-modal reasoning

### Nice to have
- image generation
- audio
- multimodal reasoning
- SFT
- RL
- data curation
- synthetic data
- evaluation
- error analysis

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