Jobs
Benefits and perks
•Parental leave program
•Health, dental, and vision coverage
•Annual team offsites
•Wellness benefits
Required skills
Airflow
SQL
PyTorch
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:
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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.
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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.
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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.
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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.
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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:
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Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
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Demonstrated experience in deep learning and transformers models
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Proficiency in frameworks like Py Torch or Tensorflow
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Strong foundation in data structures, algorithms, and software engineering principles.
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Experience with search relevance, ads ranking or LLMs is a plus.
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Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
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Excellent problem-solving and analytical skills, with a proactive approach to challenges.
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Ability to work collaboratively with cross-functional teams.
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Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
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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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.
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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
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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About OpenAI

OpenAI
Series CCreating safe AGI that benefits all of humanity.
1,500+
Employees
San Francisco
Headquarters
$80B
Valuation
Reviews
3.5
4 reviews
Work-life balance
3.0
Compensation
2.8
Culture
4.2
Career
4.3
Management
2.5
65%
Recommend to a friend
Pros
Culture of innovation and continuous learning
High pay depending on expertise
Intellectually stimulating experience
Cons
Lack of communication and oversight
Did not receive payment for work
Management issues
Salary Ranges
67 data points
Junior/L3
L5
Senior/L5
Staff/L6
Intern
Junior/L3 · Data Scientist
9 reports
$126,619
total per year
Base
$119,641
Stock
-
Bonus
$6,978
$94,332
$171,313
Interview experience
4 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview process
1
Recruiter Outreach
2
Technical Phone Screen
3
Take-home Assignment
4
5-person Panel Interview
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