Machine Learning Engineer, Growth

About the team

The Growth team drives user and revenue growth across ChatGPTs consumer and business segments and other OpenAI products worldwide. We work across the full funnelfrom awareness and acquisition through activation retention and expansionusing experimentation data science machine learning and product engineering to help more people discover and realize durable value from OpenAIs products.

Our team partners closely with Product Engineering Data Science Design Finance Lifecycle and Growth Marketing. We move quickly test rigorously and hold a high bar for measurement privacy reliability and user trust.

About this role:

We are looking for a Machine Learning Engineer to build the models and decision systems that optimize paid marketing investment for ChatGPT and other OpenAI products. You will develop budget allocation and control algorithms that determine where to invest how quickly to spend and how to adjust as performance changes.

The challenge is to make reliable decisions from noisy delayed and incomplete signals. You will combine machine learning optimization and experimentation to improve incremental growth and long-term user value within budget and efficiency constraints. You will own this work from problem formulation and prototyping through deployment evaluation and ongoing operation.

This role is based in San Francisco CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to eligible employees.

In this role you will:

• Build budget allocation algorithms. Decide how to distribute investment across channels campaigns and markets using estimates of marginal returns while accounting for diminishing returns uncertainty and business constraints.

• Develop spend pacing and adaptive control systems. Adjust budgets and spending rates as performance changes balancing responsiveness with stability when feedback is delayed or noisy. Build in spend limits monitoring and safe fallback behavior.

• Model marketing response and user value. Develop forecasts and models of conversion long-term value and saturation that help determine where the next dollar can have the greatest impact.

• Evaluate decisions rigorously. Use simulations backtesting and online experiments to test allocation and control policies. Partner with Data Science to measure incrementality and validate whether offline improvements translate into better investment outcomes.

• Own reliable production systems. Build data pipelines training and inference workflows and integrations that turn model outputs into budget decisions. Establish data-quality checks monitoring and retraining with thoughtful treatment of privacy and consent.

• Turn business goals into optimization problems. Partner with Growth Marketing Data Science Engineering and Finance to define objectives and constraints communicate tradeoffs and use evidence to improve investment decisions.

• Help build a diverse and inclusive culture where people feel welcome challenge assumptions and collaborate with candor and respect.

You might thrive in this role if you:

• 5 years of experience as a Machine Learning Engineer Applied Scientist Data Scientist or in a comparable quantitative engineering role or an equivalent record of impact.

• Experience building and operating production ML or quantitative decision systems from problem formulation and data pipelines through deployment experimentation and monitoring.

• Strong software engineering skills proficiency in Python and SQL and hands-on experience with ML frameworks and large-scale data systems.

• Strong foundations in machine learning and statistics with experience applying optimization or control methods to decisions under uncertainty.

• Experience evaluating models or algorithms with noisy delayed or incomplete data and the judgment to balance model quality causal impact and operational reliability.

• The ability to turn ambiguous goals into focused experiments interpret mixed results and communicate clear decisions with technical and non-technical partners.

• A collaborative working style and a commitment to deploying AI responsibly in service of OpenAIs mission to ensure that general-purpose artificial intelligence benefits all of humanity.

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 OpenAIs 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 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 .

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.

Required Experience:

IC