Why This Job is Featured on The SaaS Jobs
Integrity work has become a core pillar of modern SaaS, particularly for platforms that operate at scale and face adversarial behavior as a product reality. This Machine Learning Engineer role sits in that intersection of applied ML and platform risk, where model decisions directly influence trust, abuse prevention, and the reliability of user-facing systems. The remit signals a production-first environment: deploying models, monitoring outcomes, and iterating as threat patterns evolve.
For SaaS professionals building a long-term ML career, this type of mandate develops durable skills that translate across subscription businesses: designing feedback loops from live product signals, balancing precision/recall trade-offs against operational constraints, and partnering across engineering, product, and research to ship measurable improvements. Experience fine-tuning and operationalizing large models is increasingly relevant as more SaaS products embed AI features while needing safeguards that keep usage sustainable.
This role tends to fit engineers who prefer end-to-end ownership, from pipeline design through deployment and post-launch performance. It also suits practitioners who enjoy ambiguity inherent to misuse detection, where problem definitions change and success depends on rigorous experimentation. Candidates motivated by building resilient AI systems—rather than purely offline modeling—are likely to find the work aligned with their interests.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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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.
