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Research Scientist, Automated Sciences

About the Team

OpenAI’s mission is to ensure that AGI benefits all of humanity. The Mission Alignment team works with leaders across OpenAI as thought partners and evangelists of the mission and stewards of the OpenAI charter. We think deeply about the future to form a grounded, holistic view of what kinds of benefits and disruptions AGI might bring, based on our own research and collaborations with colleagues in many fields (e.g. research, economics, policy, national and global security). We use this analysis to make recommendations about some of the most important problems facing the company, work on special projects on an as-needed basis, and periodically communicate to the company as a whole about the mission.

About the Role

We are seeking a Research Scientist with deep expertise in automated science, machine learning, and scientific discovery to join our team. In this role, you will focus on developing methods to systematically identify fields of science and engineering where AI models can have the greatest impact. You will design and implement scalable approaches to automate the discovery, curation, and prioritization of scientific domains for model training.

Beyond identifying key research areas, you will also play a critical role in ensuring that AI is applied responsibly in scientific domains. This includes assessing potential risks, promoting AI safety, and proactively considering the ethical, epistemological, and societal implications of integrating AI into scientific workflows. Your work will help shape our AI-driven research strategy, ensuring that models are not only trained on the most relevant scientific data but also deployed in a way that upholds the integrity and reliability of scientific inquiry.

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:

  • Develop frameworks to identify and prioritize scientific and engineering disciplines for AI model training, leveraging machine learning, data-driven analysis, and expert insights.

  • Design automated methods for mapping emerging research areas, assessing knowledge gaps, and forecasting impactful scientific fields.

  • Collaborate with interdisciplinary teams to curate high-quality training data and guide the development of models that advance scientific discovery.

  • Build and refine tools to orchestrate large-scale literature analysis, data extraction, and research landscape mapping.

  • Assess and mitigate potential risks associated with AI-driven scientific research, ensuring AI models are applied in a safe, transparent, and responsible manner.

  • Work closely with researchers, engineers, and domain experts to translate findings into actionable recommendations for model development.

  • Stay at the forefront of scientific trends, technological advancements, and AI applications in science and engineering.

You might thrive in this role if you:

  • Are excited about making real-world impact through cutting edge agent research and deployment

  • Are a team player, willing to do a variety of tasks that move the team forward.

  • Excels in execution, consistently and completing tasks efficiently.

  • Enjoy fast-paced, collaborative, and cutting-edge research environments.

  • Have strong background in multimodal web agents, computer-using agents, relevant large-scale reinforcement learning or agentic safety research.

  • Have strong engineering skills in designing and optimizing large-scale machine learning systems

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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Average salary estimate

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$80000K
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What You Should Know About Research Scientist, Automated Sciences, OpenAI

Join OpenAI as a Research Scientist in Automated Sciences and be at the forefront of AI development! Located in the vibrant city of San Francisco, this role is perfect for someone passionate about harnessing the power of artificial intelligence to revolutionize scientific discovery. Our Mission Alignment team is dedicated to ensuring that AGI brings benefits to all humanity, and your expertise in automated science and machine learning will play a pivotal role in this journey. As a Research Scientist, you’ll develop innovative methods to identify key scientific fields where AI can make the biggest impact. Your insights will inform scalable solutions for automating discovery and prioritizing areas for model training. Collaborate with interdisciplinary teams while also ensuring that our AI applications maintain ethical standards and address potential risks effectively. This hybrid position allows for flexible work, with three days in the office each week and relocation assistance available for new team members. If you're eager to contribute to impactful research in a fast-paced and collaborative environment, OpenAI is the place for you!

Frequently Asked Questions (FAQs) for Research Scientist, Automated Sciences Role at OpenAI
What are the main responsibilities of a Research Scientist in Automated Sciences at OpenAI?

As a Research Scientist in Automated Sciences at OpenAI, your main responsibilities will include developing frameworks to identify and prioritize scientific and engineering disciplines for AI model training, designing automated methods for mapping emerging research areas, and collaborating with interdisciplinary teams to curate high-quality training data. You will also focus on assessing and mitigating potential risks associated with AI-driven scientific research, ensuring responsible AI application.

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What qualifications are required for the Research Scientist position at OpenAI?

To qualify for the Research Scientist position in Automated Sciences at OpenAI, candidates should have a strong background in machine learning, automated science, and scientific discovery. Proficiency in designing and optimizing large-scale machine learning systems, along with experience in multimodal web agents and reinforcement learning, is highly regarded. An enthusiasm for fast-paced, collaborative research environments is essential.

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What does the work environment look like for a Research Scientist at OpenAI?

The work environment for a Research Scientist at OpenAI is dynamic and collaborative, with a hybrid model that combines three days in the office with remote work flexibility. You'll be part of a team committed to pioneering cutting-edge research in AI, ensuring that the technology is applied responsibly while pushing boundaries in scientific discovery.

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How does OpenAI support the ethical use of AI in scientific research for the Research Scientist role?

OpenAI places a strong emphasis on ethical considerations in its AI applications. As a Research Scientist, you will be responsible for assessing potential risks and promoting AI safety within scientific domains. This ensures that AI models are applied in a safe, transparent manner, with an ongoing commitment to the integrity and reliability of scientific inquiry.

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What opportunities for professional growth are available for a Research Scientist at OpenAI?

At OpenAI, a Research Scientist has ample opportunities for professional growth. You will stay at the forefront of scientific trends and technological advancements while collaborating with experts across diverse fields. Your contributions will directly shape the AI-driven research strategy, paving the way for career advancement and recognition within the industry.

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Common Interview Questions for Research Scientist, Automated Sciences
Can you describe your experience with machine learning in scientific research?

When answering this question, highlight specific projects where you successfully implemented machine learning techniques in a scientific context. Discuss the methodologies used, challenges faced, and the impact of your work on scientific discovery, emphasizing your role as a collaborative team member.

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How do you approach the automation of scientific discovery?

Explain your systematic approach to automating scientific discovery, including identifying key fields, mapping research landscapes, and utilizing data-driven analysis. Share examples from your past experiences where automation led to significant insights or advancements in research.

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What ethical considerations do you think are important when deploying AI in science?

Discuss the importance of transparency, responsibility, and safety when using AI in scientific workflows. Provide specific examples where you proactively assessed risks and advocated for ethical AI practices in previous projects or roles.

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Describe a successful interdisciplinary collaboration you've been a part of.

Narrate a specific instance of an interdisciplinary collaboration, focusing on your role, the disciplines involved, and the outcomes. Highlight how your contributions facilitated project success and enhanced the overall team dynamic.

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How do you stay updated with advancements in AI and scientific research?

Share your methods for staying informed, such as following relevant journals, attending conferences, or engaging in online communities. Mention any specific resources or networks that have enhanced your knowledge and expertise.

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What do you consider the biggest challenge in automating scientific research?

Talk about challenges like data quality, knowledge gaps, or integration issues when automating scientific research. Provide solutions or strategies you've implemented to overcome similar challenges in your past work.

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How would you assess the quality of training data for AI models?

Explain your approach to evaluating training data quality, highlighting metrics or criteria you consider important, such as relevance, accuracy, and diversity. Discuss past examples where you applied these principles to ensure robust model performance.

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What do you think makes AI applications in science unique?

Discuss the unique aspects of AI in scientific applications, such as the fast pace of innovation, the complexity of data types, and the potential for transformative discoveries. Reflect on how your role as a Research Scientist can enhance these applications.

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Can you give an example of a risk you encountered in a project, and how you managed it?

Describe a specific risk that arose during a project, detailing your thought process in identifying, assessing, and mitigating the risk. Highlight the importance of proactive risk management in maintaining project integrity.

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How do you prioritize scientific fields for AI model training?

Discuss your strategy for prioritizing fields, focusing on data analysis, emerging trends, expert insights, and potential for impact. Share any algorithms or methodologies you've developed or utilized for this purpose in prior roles.

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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.

885 jobs
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BADGES
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
March 21, 2025

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