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Machine Learning Engineer, Growth
OpenAI · San Francisco, CA · Posted 23 days ago
Build the budget allocation and pacing algorithms that decide where ChatGPT and other OpenAI products invest paid marketing dollars, owning the work from prototype through production.
The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments and other OpenAI products worldwide. We work across the full funnel—from awareness and acquisition through activation, retention, and expansion—using experimentation, data science, machine learning, and product engineering to help more people discover and realize durable value from OpenAI’s 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.
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:
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This role is one of 33 Machine Learning Engineer openings in San Francisco, CA and centers on Python, SQL, Machine Learning, and Software Engineering. There are 854 open roles at OpenAI right now.
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