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Research Engineer, Multimodal

About the Team

Our team is dedicated to shaping the future of artificial intelligence by equipping ChatGPT with the ability to hear, see, speak, and create visually compelling images, transforming how people interact with AI in everyday life. We prioritize safety throughout the development process to ensure that our most advanced models can be safely deployed in real-world applications, ultimately benefiting society. This focus on safety is central to OpenAI’s mission of building and deploying safe AGI, reinforcing our dedication to AI safety and promoting a culture of trust and transparency.

About the Role

We are seeking a research engineer to pioneer innovative techniques that redefine safety, enhancing the comprehension and capabilities of our state-of-the-art multimodal foundation models. In this role, you will conduct rigorous safety assessments and develop methods, such as safety reward models and multimodal classifiers, to ensure our models are intrinsically compliant with safety protocols. You will also help with red teaming efforts to test the robustness of our models, collaborating closely with cross-functional teams, including safety and legal, to ensure our systems meet all safety standards and legal requirements.

The ideal candidate has a solid foundation in multimodal research and post training techniques, with a passion for pushing boundaries and achieving tangible impact. Familiarity with large suites of metrics or human data pipelines is a plus. You should be adept at writing high-quality code, developing tools for model evaluation, and iteratively improving our metrics based on real-world feedback. Strong communication skills are essential to work effectively with both technical and non-technical stakeholders.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Build evaluation pipelines to assess risk along various axes, especially with multimodal inputs and outputs.

  • Implement risk mitigation techniques such as building safety reward models and RL. 

  • Develop and refine multimodal moderation models to detect and mitigate known and emerging patterns of AI misuse and abuse.

  • Work with other safety teams within the company to iterate on our content policies to ensure effective prevention of harmful behavior. 

  • Work with our human data team to conduct internal and external red teaming to examine the robustness of our harm prevention systems and identify areas for future improvement.

  • Write maintainable, efficient, and well-tested code as part of our evaluation libraries.

You might thrive in this role if you:

  • Are a collaborative team player – willing to do whatever it takes in a start-up environment.

  • Have experience working in complex technical environments.

  • Are passionate about bringing magical AI experiences to millions of users.

  • Enjoy diving into the subtle details of datasets and evaluations.

  • Have experience with multimodal research and post-training techniques.

  • Are very proficient in Python.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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What You Should Know About Research Engineer, Multimodal, OpenAI

Join OpenAI as a Research Engineer specializing in Multimodal technologies in San Francisco, and become an integral part of a team dedicated to shaping the future of artificial intelligence! In this exciting role, you will lead the charge in developing innovative safety techniques for AI systems that can hear, see, and speak. Your primary goal will be enhancing the comprehension and functionalities of our cutting-edge multimodal foundation models, which play a significant role in transforming everyday interactions with AI. Collaboration will be key; you'll work alongside cross-functional teams, ensuring that safety protocols are not only developed but implemented effectively in real-world applications. If you're passionate about pushing the limits of technology and creating AI that genuinely benefits society, this role is for you. We’re looking for someone with a strong background in multimodal research and post-training techniques, coupled with excellent coding skills, particularly in Python. You should also be prepared to dive deep into evaluating datasets and building tools for model evaluation. Come join us in a work environment that fosters creativity, safety, and teamwork, where your contributions will truly make a difference in the AI landscape. With a hybrid work model and relocation assistance, we welcome passionate individuals ready to bring magical AI experiences to users across the globe!

Frequently Asked Questions (FAQs) for Research Engineer, Multimodal Role at OpenAI
What responsibilities can I expect as a Research Engineer, Multimodal at OpenAI?

As a Research Engineer, Multimodal at OpenAI, you will play a crucial role in developing and implementing safety techniques for AI models. Your primary responsibilities will include building evaluation pipelines for risk assessment, developing safety reward models, and collaborating across various teams to ensure that AI systems meet stringent safety standards. You will also engage in red teaming exercises to test model robustness and refine multimodal moderation techniques.

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What qualifications do I need to become a Research Engineer, Multimodal at OpenAI?

To be considered for the Research Engineer, Multimodal position at OpenAI, candidates should have a strong foundation in multimodal research, post-training techniques, and proficient coding skills in Python. Additionally, experience in complex technical environments, safety assessments, and familiarity with human data pipelines will be advantageous.

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Is collaboration important for the Research Engineer, Multimodal role at OpenAI?

Absolutely! Collaboration is at the heart of the Research Engineer, Multimodal role at OpenAI. You will work closely with cross-functional teams, including safety and legal, to ensure that AI systems are fully compliant with safety protocols and legal requirements. Your ability to communicate technical details effectively to non-technical stakeholders will be essential in fostering a collaborative environment.

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What kind of work culture does OpenAI promote for the Research Engineer, Multimodal position?

OpenAI promotes a culture of trust, transparency, and collaboration for the Research Engineer, Multimodal position. The team values innovative thinking and encourages employees to dive deep into the details of AI datasets and evaluations. With a hybrid work model, we offer flexibility while maintaining active teamwork within the office.

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Can I receive relocation assistance when applying for the Research Engineer, Multimodal role at OpenAI?

Yes, OpenAI provides relocation assistance for new employees applying for the Research Engineer, Multimodal position. We want to ensure that the transition into our team is smooth and welcoming, enabling you to focus on contributing to groundbreaking AI technology.

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Common Interview Questions for Research Engineer, Multimodal
Can you explain your experience with multimodal research?

When answering about your experience with multimodal research, outline specific projects where you integrated various data types, such as text, images, or audio. Highlight any techniques you developed to analyze or enhance those modal interactions and discuss the results of your work, emphasizing how it positively impacted project outcomes.

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How would you approach building evaluation pipelines for AI models?

Discuss your methodology for building evaluation pipelines, focusing on identifying key risk assessment criteria and the metrics you would use. Describe any tools you have experience with for automating evaluations, and demonstrate your understanding of how these pipelines contribute to safety and compliance within AI systems.

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Describe a time when you worked in a cross-functional team.

Provide a specific example where you collaborated with individuals from different departments. Explain your role in the team, how you communicated technical concepts to non-technical members, and how this collaboration led to successful project outcomes. Emphasize the importance of teamwork in meeting common goals.

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What is your experience in conducting safety assessments?

Outline your experience with safety assessments, detailing the processes you've followed to evaluate AI models for compliance with safety protocols. Discuss the types of assessments conducted and any frameworks or models you implemented, along with the impact of those assessments on the projects.

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How do you stay updated on the latest trends in AI safety?

Share your strategies for staying informed on AI safety trends, including relevant journals, conferences, or workshops you attend. Mention any influential thought leaders you follow or forums you participate in that focus on AI safety, and discuss how these contributions enhance your work as a Research Engineer.

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What programming languages are you proficient in, and how have you used them in your projects?

Talk about your proficiency in programming languages, particularly Python, and provide examples of how you've applied them in past projects. Describe coding techniques you value, such as writing maintainable and efficient code, and how your coding skills contribute to the success of your work in AI.

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Can you give an example of a red teaming exercise you participated in?

Describe a specific red teaming exercise you were involved in, focusing on your role and contributions to evaluating the robustness of an AI system. Discuss the methodology used, the vulnerabilities identified, and how the outcomes influenced subsequent development or safety protocols.

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What challenges do you foresee in multimodal AI, and how would you address them?

Identify potential challenges in multimodal AI, such as ensuring consistent quality across diverse data types or managing bias. Discuss strategies on how you would approach these challenges, including techniques or methodologies you've learned through experience to mitigate risks and enhance model performance.

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How do you approach the iterative improvement of metrics based on real-world feedback?

Explain your approach to gathering real-world feedback on AI models, how you analyze this data, and how you iteratively refine metrics accordingly. Share examples of projects where feedback led to significant improvements and emphasize the importance of adapting to dynamic environments.

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What motivates you about working in AI and implementing safety protocols?

Reflect on your motivations for working in the AI field, particularly regarding safety. Share your passion for creating user-centric technology that can benefit society and reinforce the idea of trust in AI systems. Discuss how this drive influences your work and future aspirations as a Research Engineer.

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OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.

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Badge ChangemakerBadge Future MakerBadge InnovatorBadge Future UnicornBadge Rapid Growth
CULTURE VALUES
Inclusive & Diverse
Feedback Forward
Collaboration over Competition
Growth & Learning
FUNDING
SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 20, 2024

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