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Research Engineer, Safety Systems

About the Team

The Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models and their deployment in the real world.

Building on the many years of our practical alignment work and applied safety efforts, Safety Systems addresses emerging safety issues and develops new fundamental solutions to enable the safe deployment of our most advanced models and future AGI, to make AI that is beneficial and trustworthy.

Learn more about OpenAI’s approach to safety

About the Role

At OpenAI, we're dedicated to advancing artificial intelligence, and we know that creating a secure and reliable platform is vital to our mission. That's why we're seeking Research Engineers to help us build out our trust and safety capabilities.

In this role, you’ll be working closely with our engineers, researchers and data scientists to create and improve our safety mitigations via model training and ML systems work. You'll be at the forefront of our efforts to ensure that the immense potential of AI is harnessed in a responsible and sustainable manner.

In this role, you will:

Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Implement safety measures at various stages of AI model development and deployment. This includes pre-training data filtration, post-training evaluation, deployment time safety mitigations and continuous monitoring to ensure models align with human values and safety standards.

Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.

Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.

Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.

Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.

You might thrive in this role if you:

  • Demonstrate a passion for AI safety and making cutting-edge AI models safer for real-world use.

  • Demonstrated experience in deep learning and transformers models

  • Proficiency in frameworks like PyTorch or Tensorflow

  • Strong foundation in data structures, algorithms, and software engineering principles.

  • Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization

  • Ability to work collaboratively with cross-functional teams across research, product and engineering

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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What You Should Know About Research Engineer, Safety Systems, OpenAI

Are you passionate about advancing the safety and reliability of AI? OpenAI is on the lookout for a Research Engineer in Safety Systems to join our team in San Francisco. In this exciting role, you’ll play a pivotal part in developing solutions that ensure our AI models are safe for real-world applications. You’ll work alongside talented engineers, researchers, and data scientists to innovate safety measures throughout the model deployment process—from training and evaluation to continuous monitoring. Your creativity will shine as you design and deploy machine learning models aimed at solving critical safety challenges, all while optimizing for performance and scalability. If you understand the importance of aligning AI capabilities with human values and safety standards, this is the role for you. We want someone who not only has experience with deep learning and transformers but also thrives in a collaborative environment and is eager to engage with the latest advancements in AI and machine learning. Your contributions will significantly influence the responsible integration of AI technologies in society. At OpenAI, we’re committed to making a difference, and we believe that the intersection of safety and innovation is essential to achieving our mission. Join us to harness AI's incredible potential and create reliable solutions that benefit humanity!

Frequently Asked Questions (FAQs) for Research Engineer, Safety Systems Role at OpenAI
What responsibilities does the Research Engineer, Safety Systems at OpenAI have?

As a Research Engineer in Safety Systems at OpenAI, your main responsibilities include designing and implementing advanced machine learning models focused on AI safety. You’ll work on safety measures at every stage—from pre-training data filtering to continuous monitoring of deployed models, ensuring they align with human values and safety standards.

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What qualifications are needed for the Research Engineer, Safety Systems position at OpenAI?

To qualify for the Research Engineer, Safety Systems position at OpenAI, candidates should demonstrate a strong foundation in deep learning and transformers, along with proficiency in programming frameworks like PyTorch or TensorFlow. A solid understanding of data structures, algorithms, and collaborative experience across multidisciplinary teams are also essential. Familiarity with training methodologies for large language models is highly valued.

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How does the Research Engineer, Safety Systems role contribute to AI safety at OpenAI?

The Research Engineer, Safety Systems at OpenAI plays a critical role in advancing AI safety by developing and implementing robust safety measures throughout model deployment. This involves continuous evaluation and monitoring of AI systems, ensuring safe and reliable integration of advanced AI into real-world applications.

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What collaborative opportunities exist for a Research Engineer in Safety Systems at OpenAI?

At OpenAI, a Research Engineer in Safety Systems will collaborate with engineers, researchers, and product managers to address complex business challenges. This team-oriented approach fosters an environment where ideas are shared freely, enhancing the development of innovative AI-powered solutions.

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What impact will a Research Engineer, Safety Systems have at OpenAI?

The Research Engineer, Safety Systems will significantly influence the deployment of AI technologies by ensuring they are developed and implemented safely and ethically. Your work will directly contribute to the mission of making AI beneficial and trustworthy for all of humanity.

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Common Interview Questions for Research Engineer, Safety Systems
Can you explain your experience with deep learning and transformer models as it relates to the Research Engineer, Safety Systems role?

When answering this question, share specific projects where you utilized deep learning techniques and transformer models. Highlight any challenges you faced and how you overcame them, making sure to connect your experience with the implications for AI safety and reliability.

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What methods do you use to ensure model safety during deployment?

Discuss your knowledge of various methods like pre-training data filtration and post-training evaluations. Be sure to provide examples of how you implemented these strategies in past projects, emphasizing your commitment to maintaining AI alignment with safety standards.

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How do you stay updated on the latest developments in AI and machine learning?

Talk about the resources you use to stay current—such as research papers, online courses, or industry conferences. Share any relevant communities you may engage with to demonstrate your proactive approach to continuous learning in the rapidly evolving field of AI.

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Describe a time when you had to collaborate with cross-functional teams. What role did you play?

Provide an example that illustrates your ability to work in a collaborative environment. Focus on your role in that team, the dynamics involved, and how you contributed to achieving common goals, particularly related to AI safety.

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What challenges have you faced in implementing AI safety measures and how did you overcome them?

Discuss specific challenges related to AI safety measures you have encountered. Talk through your problem-solving approach, what resources you leveraged, and how your actions led to successful outcomes.

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How do you approach model optimization for performance and accuracy?

Explain your strategies for optimizing models, detailing any specific techniques or frameworks you've used. Highlight past projects where your optimizations led to significant performance improvements.

Join Rise to see the full answer
Can you explain your familiarity with training and fine-tuning large language models?

Detail your experiences with training and fine-tuning large language models, including the techniques you've used (like supervised fine-tuning and policy optimization). Provide real-world examples that demonstrate your expertise.

Join Rise to see the full answer
What do you believe are the key aspects of AI that need to be aligned with human values?

Share your perspective on AI alignment with human values. Discuss key aspects such as safety, fairness, transparency, and accountability, providing examples of how these considerations impact the development cycle.

Join Rise to see the full answer
How do you intend to maintain high-quality engineering practices as a Research Engineer at OpenAI?

Discuss practices such as conducting code reviews, engaging in knowledge-sharing activities, and leveraging best practices in software engineering. Emphasize your commitment to maintaining quality and reliability in AI model deployment.

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What excites you most about working in safety systems for AI at OpenAI?

Convey your enthusiasm for contributing to meaningful AI solutions. Share what excites you about the role and how you see it impacting society positively, making connections to OpenAI's mission and goals.

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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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CULTURE VALUES
Inclusive & Diverse
Feedback Forward
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Growth & Learning
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 8, 2025

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