Engineering Manager (Web Safety)
Job Description
- Extensive hands-on experience managing machine learning teams, especially in web safety or content integrity.
- Proven success in training, fine-tuning, or distilling LLMs and traditional ML models for real-world problems.
- Enjoy deep technical involvement in solution design, model training, and deployment.
- Excellent collaboration skills across diverse teams.
- Strong emotional intelligence and empathy.
- Ability to create clarity and impactful solutions in ambiguous, changing environments.
- Architect and build next-generation system protections.
- Lead and manage a small, senior team of Machine Learning Engineers.
- Collaborate closely with Research, Safety, Product, and Policy teams.
- Utilize state-of-the-art models to detect and prevent problematic content.
- Establish robust evaluation frameworks and metrics.
- Support team's professional growth and maintain high performance.
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
About the team
The Applied team safely brings OpenAI's technology to the world. Our team launched ChatGPT, Advanced Voice Mode, Deep Research, and many other products, supporting scalable infrastructure and driving safe, responsible deployment. Our customers rely on our APIs to build transformative products, while we ensure responsible usage and platform integrity.
The Integrity team, within Applied Engineering, safeguards our platform by proactively identifying misuse, preventing abuse, and protecting users. We're seeking an experienced, hands-on Engineering Manager (Web Safety) to shape the future direction, architect advanced system protections, and lead a focused team of senior Machine Learning Engineers (MLEs).
In this role, you will:
- Architect and build next-generation system protections, directly contributing through hands-on design, model training, and deployment strategies.
- Lead and manage a small, senior team of Machine Learning Engineers, empowering them with clear direction and autonomy.
- Collaborate closely with Research, Safety, Product, and Policy teams to leverage existing tools and drive cutting-edge advancements.
- Utilize state-of-the-art models to detect and prevent problematic content effectively.
- Establish robust evaluation frameworks and metrics, clearly measuring progress and identifying areas for improvement.
- Support your team's professional growth and maintain high performance through mentorship and clear career progression.
You might thrive in this role if you:
- Bring extensive hands-on experience managing machine learning teams, ideally in web safety, content integrity, or related domains.
- Have successfully trained, fine-tuned, or distilled LLMs and traditional ML models to solve real-world business problems.
- Enjoy being deeply involved technically—actively designing solutions, training models, and guiding deployment processes alongside your team.
- Excel at collaborating across teams to integrate existing tools and thoughtfully architect new solutions.
- Possess strong emotional intelligence, empathy, and the ability to effectively connect with colleagues.
- Embrace ambiguity and rapidly changing circumstances as opportunities to create clarity, structure, and impactful solutions.
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.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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Compensation Range: $405K - $490K
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