OpenAI Hiring Research Scientist – Multimodal Agent, Consumer Devices in San Francisco: Annual Salary USD $380,000–$445,000 @Multimodal Agent, Consumer Devices in San Francisco: Annual Salary USD $380,000–$445,000

OpenAI is seeking an exceptional Research Scientist – Multimodal Agent, Consumer Devices to join its Future of Computing Research team in San Francisco, California. This role offers experienced machine learning researchers the opportunity to shape the next generation of multimodal artificial intelligence by developing personalized AI systems capable of learning, adapting, and delivering meaningful long-term value to users.

The position sits within OpenAI’s Consumer Devices group and focuses on advancing reinforcement learning from human feedback (RLHF), post-training methodologies, reward modeling, and evaluation frameworks that improve AI behavior in real-world environments. Successful candidates will collaborate with multidisciplinary teams spanning research, engineering, product, design, and safety to build AI experiences that are trustworthy, context-aware, and aligned with users’ goals.

The role follows a hybrid working model, requiring employees to work from the San Francisco office three days each week. Relocation assistance is available for successful candidates.

About the Future of Computing Research Team

The Future of Computing Research team is an applied research group dedicated to exploring new approaches that define the future of human-AI interaction.

The team focuses on building multimodal AI systems capable of:

• Learning continuously over time.
• Adapting to individual users.
• Understanding personal preferences.
• Supporting long-term goals and well-being.
• Delivering context-aware assistance.

Researchers work at the intersection of artificial intelligence, product development, safety, and human-centered design to transform cutting-edge research into practical consumer technologies.

Rather than focusing solely on one-time interactions, the team develops AI systems capable of maintaining long-term memory, personalization, and adaptive behavior while respecting user privacy, trust, and alignment principles.

About the Research Scientist Role

The successful candidate will contribute to research on RLHF and post-training methods for multimodal AI systems.

The role focuses on improving how AI models learn from feedback, understand contextual information, and make better behavioral decisions throughout extended interactions.

Instead of optimizing only benchmark performance, researchers will develop methods that improve how AI systems perform in realistic everyday scenarios.

Research areas include:

• Reward modeling.
• Preference learning.
• Policy improvement.
• Long-horizon evaluation.
• Context-aware personalization.
• Human-centered AI alignment.

The role combines advanced research with direct product impact, helping shape future consumer AI experiences.

Key Responsibilities

The Research Scientist will contribute to several advanced machine learning initiatives.

Responsibilities include:

• Developing RLHF and post-training methods for multimodal AI models.
• Building reward models and preference-learning systems.
• Designing datasets for personalized AI training.
• Creating evaluation frameworks that measure contextual appropriateness and long-term usefulness.
• Conducting experiments using explicit feedback, implicit behavioral signals, and model-based evaluation techniques.
• Improving policy optimization for adaptive AI systems.
• Developing long-horizon evaluation methods that assess performance over extended interactions.
• Collaborating with AI safety researchers to ensure personalization remains transparent, interpretable, and appropriately constrained.
• Prototyping training pipelines, reward functions, datasets, and evaluation methodologies.
• Helping define how personalized AI success is measured, including user trust, relevance, safety, and long-term benefit.

Required Qualifications

OpenAI is seeking candidates with a strong research background in machine learning and modern AI training techniques.

Ideal applicants should possess experience in:

• Reinforcement Learning from Human Feedback (RLHF).
• Reward modeling.
• Preference optimization.
• Post-training of large language models.
• Machine learning research.
• Reinforcement learning.

Candidates with expertise in one or more of the following areas are particularly encouraged to apply:

• Ranking systems.
• Recommendation algorithms.
• Personalization technologies.
• Long-term memory systems.
• Human-in-the-loop evaluation.
• Adaptive AI systems.

Preferred Skills

Successful applicants should demonstrate:

• Strong empirical research skills.
• Experience designing rigorous experiments.
• Expertise in evaluation methodologies and performance metrics.
• Ability to build datasets grounded in human preferences.
• Experience creating labeling strategies and training pipelines.
• Knowledge of multimodal artificial intelligence.
• Interest in long-term behavioral learning and user adaptation.

OpenAI also values researchers who enjoy collaborating across disciplines and translating frontier AI research into real-world products.

Working Environment

The position offers opportunities to work alongside world-leading experts in artificial intelligence, product development, engineering, and AI safety.

Researchers will collaborate with:

• Machine learning engineers.
• Product managers.
• Designers.
• AI safety specialists.
• Research scientists.

The multidisciplinary environment enables rapid experimentation while maintaining strong commitments to responsible AI deployment and user trust.

Compensation and Benefits

OpenAI offers a highly competitive compensation package for this role.

Key employment details include:

• Position: Research Scientist – Multimodal Agent, Consumer Devices
• Organisation: OpenAI
• Location: San Francisco, California, USA
• Work arrangement: Hybrid (three office days per week)
• Employment type: Full-time
• Relocation assistance: Available
• Annual compensation: USD $380,000–$445,000
• Additional benefits: Equity package

OpenAI’s Commitment to Responsible AI

OpenAI is dedicated to ensuring that artificial intelligence benefits humanity while maintaining the highest standards of safety, fairness, and transparency.

The organisation develops advanced AI systems with a strong emphasis on:

• Human-centered design.
• Responsible deployment.
• AI safety.
• Trustworthy personalization.
• Inclusive innovation.

OpenAI is also an equal opportunity employer committed to fostering a diverse workplace where individuals from all backgrounds can contribute to advancing the future of artificial intelligence.

How to Apply

Qualified candidates interested in advancing the future of multimodal AI are encouraged to submit their applications through the official OpenAI Careers portal.

Applications should demonstrate relevant research experience, technical expertise, and contributions to machine learning, reinforcement learning, or related AI fields.

VISIT OFFICIAL WEBSITE TO APPLY

For more opportunities such as these please follow us on Facebook, Instagram, Twitter, LinkedIn and WPChannel

Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.