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Cybersecurity Evaluations Engineer

About the Team

The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

Frontier AI models have the potential to benefit all of humanity, but also pose increasingly severe risks. To ensure that AI promotes positive change, the Preparedness team helps us prepare for the development of increasingly capable frontier AI models. This team is tasked with identifying, tracking, and preparing for catastrophic risks related to frontier AI models.

Specifically, the mission of the Preparedness team is to:

  • Closely monitor and predict the evolving capabilities of frontier AI systems, with an eye towards misuse risks whose impact could be catastrophic (not necessarily existential) to our society; and

  • Ensure we have concrete procedures, infrastructure and partnerships to mitigate these risks and, more broadly, to safely handle the development of powerful AI systems.

Our team will tightly connect capability assessment, evaluations, and internal red teaming for frontier models, as well as overall coordination on AGI preparedness. The team’s core goal is to ensure that we have the infrastructure needed for the safety of highly-capable AI systems—from the models we develop in the near future to those with AGI-level capabilities. 

About the Role

As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload.

In this role, you will:

  • Work on scaling our infrastructure to support a wide variety of evaluations, supporting systems and automation.

  • Collaborate with development teams to make our systems more reliable (owning Production Readiness Reviews)

  • Implement and manage monitoring systems to proactively identify issues and anomalies in our production environment.

  • Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.

  • Implement fault-tolerant and resilient design patterns to minimize service disruptions.

  • Build and maintain automation tools to streamline repetitive tasks and improve system reliability.

  • Partner with engineers and researchers at OpenAI to help bring frontier research capabilities to the world.

  • Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability.

You might thrive in this role if you:

  • Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems.

  • Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management.

  • Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.

  • Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems.

  • Help create a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think.

  • Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

  • Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

  • Have at least 7+ years of professional software engineering experience.

  • Proven experience as an reliability engineer or a similar role in a fast-paced, rapidly scaling company.

  • Strong proficiency in cloud infrastructure.

  • Proficiency in programming/scripting languages.

  • Experience with containerization technologies and container orchestration platforms like Kubernetes.

  • Knowledge of IaC tools such as Terraform or CloudFormation.

  • Excellent problem-solving and troubleshooting skills.

  • Strong communication and collaboration skills.

  • Experience with observability tools such as DataDog, Prometheus, Grafana, Splunk and ELK stack.

  • Experience with microservices architecture and service mesh technologies.

  • Knowledge of security best practices in cloud environments.

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.

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 Cybersecurity Evaluations Engineer, OpenAI

As a Cybersecurity Evaluations Engineer at OpenAI in San Francisco, you'll be joining a dynamic team that’s at the forefront of ensuring that AI technology is developed safely and responsibly. This role is not just about coding or infrastructure; it's about contributing to a mission that prioritizes the well-being of society while harnessing the groundbreaking potential of frontier AI systems. You'll dive deep into evaluating and enhancing the reliability and scalability of our technologies, ensuring they operate seamlessly as we expand our reach to millions of users. In an environment that emphasizes collaboration, you’ll work alongside software engineers, product managers, and data scientists, focusing on creating resilient systems and minimizing service disruptions. Your day-to-day may include developing monitoring systems, managing production readiness reviews, and implementing fault-tolerant designs. If you’re passionate about automation and have a knack for tackling engineering challenges, this could be the perfect fit for you! Not only will you play a key role in shaping the technological landscape, but you'll also be contributing to a culture that values diversity, equity, and inclusion. Join OpenAI as we navigate the complexities of AI to ensure its benefits are safely shared with everyone. We can’t wait to see the impact you’ll make!

Frequently Asked Questions (FAQs) for Cybersecurity Evaluations Engineer Role at OpenAI
What are the main responsibilities of a Cybersecurity Evaluations Engineer at OpenAI?

As a Cybersecurity Evaluations Engineer at OpenAI, your primary responsibilities include ensuring the reliability and scalability of our systems through evaluations and monitoring. You'll work closely with various teams to enhance infrastructure, implement monitoring systems, and manage service level objectives. Your role will also involve developing automation tools to streamline processes, ensuring that our rapidly evolving AI technologies are deployed safely and efficiently.

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What qualifications are required for the Cybersecurity Evaluations Engineer position at OpenAI?

To qualify for the Cybersecurity Evaluations Engineer role at OpenAI, candidates should have a Bachelor's degree in Computer Science, Information Technology, or a related field, or possess equivalent work experience. Additionally, at least 7 years of professional software engineering experience is required, along with proven expertise in reliability engineering, cloud infrastructure, and programming languages.

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What skills are important for a Cybersecurity Evaluations Engineer at OpenAI?

Important skills for a Cybersecurity Evaluations Engineer at OpenAI include strong problem-solving abilities, proficiency in cloud infrastructure, and familiarity with containerization technologies like Kubernetes. Experience with observability tools and IaC principles will also be beneficial. Candidates should have excellent communication and collaboration skills, as they will partner with various teams to ensure the systems' reliability and performance.

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How does OpenAI ensure a diverse and inclusive workplace for Cybersecurity Evaluations Engineers?

OpenAI is committed to fostering a diverse and inclusive work environment. For the Cybersecurity Evaluations Engineer role, the company values a culture where every voice is heard and respected. OpenAI actively seeks to create a workplace that promotes equity and values the perspectives of all employees, ensuring that all team members feel welcomed and empowered to contribute to the mission.

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What does the career growth look like for a Cybersecurity Evaluations Engineer at OpenAI?

Career growth for a Cybersecurity Evaluations Engineer at OpenAI is robust due to the organization’s commitment to professional development. Employees have access to ongoing training and opportunities to take on increased responsibilities within cross-functional teams. As engineers enhance their skills and contribute to innovative projects, they can advance into leadership roles or specialize further within areas such as security architecture or risk assessment.

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Common Interview Questions for Cybersecurity Evaluations Engineer
Can you explain your experience with cloud infrastructure as a Cybersecurity Evaluations Engineer?

When discussing your experience with cloud infrastructure, focus on specific projects where you've implemented or managed cloud services. Highlight your familiarity with different cloud platforms, how you've optimized performance, and any challenges you've overcome while ensuring security best practices.

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How do you prioritize reliability and safety in your engineering work?

In answering this question, emphasize your understanding of reliability principles, such as designing for failure, implementing monitoring systems, and your experience with creating service level indicators. Discuss specific methodologies you've used and how these have ensured safe and efficient deployment of technology.

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What strategies do you use to address bottlenecks in system performance?

Describe your approach to identifying bottlenecks—mention tools or monitoring methods you've employed. Discuss how you analyze performance data, work collaboratively with teams to implement solutions, and how iterative testing has helped improve system efficiency.

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Can you walk us through your experience with container orchestration technologies?

Discuss your specific usage of container orchestration technologies such as Kubernetes. Talk about the deployments you've managed, challenges encountered, and how you've utilized these technologies to improve scalability and reliability of applications.

Join Rise to see the full answer
How do you approach on-call rotations and incident response?

When answering, explain your preparedness for on-call duties, the importance of rapid response, and your experience with incident management. Provide examples of critical incidents you've handled and detail the strategies you employed to resolve issues swiftly while minimizing downtime.

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What role does automation play in improving system reliability?

Discuss the various automation tools you have implemented or created to enhance system reliability. Highlight specific cases where automation has reduced manual effort, minimized errors, or improved efficiency in operations or deployments, supporting your argument with tangible metrics when possible.

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What do you think are the most significant risks associated with frontier AI models?

Identify key risks such as misuse potential, catastrophic impacts on society, and discuss how proactive risk management strategies can mitigate these challenges. Show your awareness of the ethical and technical considerations surrounding the deployment of powerful AI systems.

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Describe your experience with Infrastructure as Code (IaC).

Share specific examples of projects where you've implemented IaC using tools like Terraform or CloudFormation. Highlight the benefits that IaC brought to your workflow, such as consistency, scalability, and ease of management, and discuss how it contributed to improving overall system reliability.

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How do you stay updated on cybersecurity trends and best practices?

Talk about the resources you use to keep your skills sharp, such as online courses, webinars, industry conferences, and relevant publications. Share specific examples of how you've applied new knowledge to your past projects or teams, emphasizing your commitment to continuous learning.

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Can you describe a challenging project you worked on as a Cybersecurity Evaluations Engineer?

Select a project that highlights your skills and problem-solving abilities. Discuss the challenges faced, the steps you took to address them, and the outcome. Focus on what you learned from the experience and how it has shaped your approach to future projects.

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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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Feedback Forward
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Growth & Learning
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EMPLOYMENT TYPE
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DATE POSTED
January 10, 2025

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