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Machine Learning Engineer, Integrity

About the Team

The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. 

The Integrity team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability.

About the Role

As a Machine Learning Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about fine tuning LLMs and building ML models this role is your chance to make a significant mark.

In this role, you will:

  • Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.

  • 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:

  • Master's/  PhD degree in Computer Science, Machine Learning, Data Science, or a related field. 

  • 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.

  • Experience with search relevance, ads ranking  or LLMs is a plus.

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

  • Excellent problem-solving and analytical skills, with a proactive approach to challenges.

  • Ability to work collaboratively with cross-functional teams.

  • Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines

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

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 Machine Learning Engineer, Integrity, OpenAI

Are you ready to step into the role of a Machine Learning Engineer with OpenAI in the vibrant city of San Francisco? Join our Integrity team, where we're on a mission to ensure that our groundbreaking technologies remain secure from various adversarial threats. As a key player in this innovative environment, you'll collaborate with top minds in AI to deploy state-of-the-art models that address real-world challenges. Your expertise will help transform research breakthroughs into impactful solutions that enhance the trust and safety of our platform. In this exciting role, you'll design advanced machine learning models, implement scalable data pipelines, and monitor deployed models to ensure they continue delivering value. You'll be part of a dynamic team that values creativity and collaboration, tackling complex business challenges with cutting-edge technology. If you have a Master's or PhD in a related field, experience with deep learning, and a passion for fine-tuning large language models, we want to hear from you! Here at OpenAI, we're not just about advancing AI technology; we're dedicated to ensuring it benefits all of humanity. Come and make a difference with us as we shape the future of technology together.

Frequently Asked Questions (FAQs) for Machine Learning Engineer, Integrity Role at OpenAI
What are the main responsibilities of a Machine Learning Engineer at OpenAI?

As a Machine Learning Engineer at OpenAI, you will be responsible for designing and deploying advanced machine learning models, collaborating with researchers and product managers, optimizing performance for production, and monitoring deployed models to ensure they continue providing value. Your work will impact the safety and trustworthiness of AI technologies.

Join Rise to see the full answer
What qualifications do I need to apply for the Machine Learning Engineer position at OpenAI?

Candidates for the Machine Learning Engineer role at OpenAI should possess a Master's or PhD degree in Computer Science, Machine Learning, or a related field. Relevant experience with deep learning and transformer models, proficiency in frameworks like PyTorch or TensorFlow, and strong problem-solving skills are also essential.

Join Rise to see the full answer
How does collaboration work within the Integrity team at OpenAI?

Collaboration within the Integrity team at OpenAI is dynamic and creative. As a Machine Learning Engineer, you'll work closely with researchers, software engineers, and product managers, leveraging diverse perspectives to address complex problems and deliver AI-powered solutions effectively.

Join Rise to see the full answer
What technologies and methodologies will I work with as a Machine Learning Engineer at OpenAI?

In the role of Machine Learning Engineer at OpenAI, you will work with cutting-edge technologies, focusing on deep learning frameworks like PyTorch and TensorFlow. You'll also engage with methodologies for training and fine-tuning large language models, ensuring that your work utilizes the latest advancements in artificial intelligence.

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What opportunities for professional growth can I expect at OpenAI?

At OpenAI, you'll have ample opportunities for professional growth as you engage with the latest developments in machine learning and AI. You will participate in code reviews, share knowledge with peers, and lead by example, allowing you to refine your skills and advance your career in a supportive environment.

Join Rise to see the full answer
Common Interview Questions for Machine Learning Engineer, Integrity
Can you explain your experience with deep learning frameworks like PyTorch or TensorFlow?

When answering this question, share specific projects where you've used these frameworks. Highlight your proficiency with model design, optimization, and any challenges you faced during implementation. It’s beneficial to discuss your familiarity with recent version updates and community best practices.

Join Rise to see the full answer
How do you approach deploying machine learning models in a production environment?

Describe your end-to-end process for deployment, including data pipeline setup, model testing, and performance optimization. Share examples of how you’ve ensured reliability and scalability, and mention any tools or services you’ve used in the deployment process.

Join Rise to see the full answer
What techniques do you use for fine-tuning large language models?

Discuss methods such as supervised fine-tuning, distillation, or using pre-trained models for transfer learning. Provide examples of projects where you applied these techniques successfully and highlight any measurable outcomes.

Join Rise to see the full answer
How do you stay current with developments in machine learning and AI?

Share specific sources you follow, such as reputable journals, conferences, or online courses that keep you updated. Mention any communities or forums you engage with, as well as any contributions you’ve made to open-source projects.

Join Rise to see the full answer
Can you describe a challenging problem you solved using machine learning?

Use the STAR method (Situation, Task, Action, Result) to frame your response. Illustrate the challenge, your approach to tackling it, and the result of your solution, including any impact it had on your team or organization.

Join Rise to see the full answer
What is your experience with optimizing machine learning models for performance and scalability?

Share your strategies for improving model performance, such as parameter tuning, model selection, and ensuring efficient data processing. Discuss specific scenarios where your optimizations led to better accuracy or reduced latency.

Join Rise to see the full answer
How do you handle competing priorities or deadlines in a project?

Discuss your time management strategies and how you prioritize tasks based on project impact. Provide examples of past experiences where you successfully navigated tight deadlines while maintaining quality.

Join Rise to see the full answer
What do you think are the biggest challenges facing machine learning models in production?

Identify key challenges such as data quality, concept drift, or resource limitations. Share your insights on addressing these challenges, including proactive monitoring and continuous improvement practices.

Join Rise to see the full answer
How would you explain complex machine learning concepts to non-technical stakeholders?

Emphasize the importance of simplifying technical jargon into relatable terms. Give examples of how you’ve effectively communicated data-driven recommendations and insights in your past roles for better understanding by non-technical audiences.

Join Rise to see the full answer
What excites you about working at OpenAI and the Integrity team?

Express your enthusiasm for OpenAI’s mission and values, particularly how it aligns with your career goals. Highlight specific aspects of the Integrity team’s work that resonate with you, such as the focus on security and ethical AI deployment.

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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
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Feedback Forward
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EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
January 9, 2025

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