Machine Learning Engineer, Integrity

Machine Learning Engineer · Senior · Full Time

San FranciscoUSD 266k – 555k4mo ago
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Role

What you'll do.

OpenAI's Integrity Machine Learning Engineer role focuses on developing cutting-edge AI models to defend against adversarial threats and ensure platform security. The position requires advanced machine learning expertise to deploy state-of-the-art models that protect and improve AI system integrity across various applications.

Responsibilities

  • Model Innovation: Design and deploy advanced machine learning models that solve real-world integrity and security challenges for AI platforms.
  • Cross-Functional Collaboration: Work closely with researchers, software engineers, and product managers to understand complex business challenges and develop AI-powered solutions.
  • Performance Optimization: Implement scalable data pipelines, optimize machine learning models for performance and accuracy, and ensure production-readiness.
  • Continuous Learning: Stay updated with latest developments in machine learning and AI, participate in code reviews, and maintain high-quality engineering practices.
  • Model Monitoring: Continuously monitor and maintain deployed models to ensure ongoing value delivery and system integrity.

Qualifications

What we look for.

Technical

  • Deep Learning Expertise

    Demonstrated experience in deep learning and transformer models

  • Machine Learning Frameworks

    Proficiency in PyTorch or TensorFlow

  • Model Training

    Familiar with training and fine-tuning large language models, including techniques like distillation, supervised fine-tuning, and policy optimization

Education

  • Advanced Degree

    Master's or PhD in Computer Science, Machine Learning, Data Science, or related field

Experience

  • Software Engineering Fundamentals

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

  • Preferred Experience

    Background in search relevance, ads ranking, or Large Language Models (LLMs)

Skills

Required

  • Problem Solving

    Excellent analytical skills with a proactive approach to challenges

  • Collaboration

    Ability to work effectively with cross-functional teams

  • Adaptability

    Capable of working in dynamic environments with competing priorities

Preferred

  • Research Background

    Nice to have

    Experience translating machine learning research into practical applications

  • AI Ethics

    Nice to have

    Understanding of responsible AI development and deployment

Tech stack

Languages

Python

Frameworks

PyTorchTensorFlow

Databases

Big Query

Tools

KubernetesDocker

Other

Large Language Models

Compensation

Pay and benefits.

Base·USD 266,000 – 555,000

Equity·Stock options

Benefits

  • Equity Compensation

    Stock options providing potential long-term financial growth

  • Cutting-Edge Technology

    Opportunity to work on groundbreaking AI technologies

  • Professional Development

    Continuous learning and exposure to advanced AI research

Process

Interview steps.

  1. 01

    Initial Screening

    HR review of application and resume

  2. 02

    Technical Phone Screen

    Discussion of technical skills and machine learning background

  3. 03

    Machine Learning Challenge

    Take-home project or live coding exercise focused on ML problem-solving

  4. 04

    Onsite/Virtual Interviews

    Multiple technical interviews with team members, including deep dives into ML expertise

  5. 05

    Final Interview

    Discussion with team leadership about role alignment and career potential

Full posting

Original listing.

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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

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

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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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