OpenAI
Machine Learning Engineer, Growth
San Francisco · Senior · Contract
Sponsorship not specifiedDetected 3 days ago
PythonAlgorithmsSQLMachine LearningData EngineeringData ScienceMLOpsStatisticsA/B TestingGrowth MarketingAccountingResearch
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odds of building a lasting career here
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Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- 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.
- This role is based in San Francisco, CA.
Responsibilities
- 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.
- 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.
- Experience building and operating production ML or quantitative decision systems, from problem formulation and data pipelines through deployment, experimentation, and monitoring.
- The ability to turn ambiguous goals into focused experiments, interpret mixed results, and communicate clear decisions with technical and non-technical partners.
Requirements
- Strong software engineering skills, proficiency in Python and SQL, and hands-on experience with ML frameworks and large-scale data systems.
Benefits
- 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.
- Strong foundations in machine learning and statistics, with experience applying optimization or control methods to decisions under uncertainty.
- A collaborative working style and a commitment to deploying AI responsibly, in service of OpenAI's mission to ensure that general-purpose artificial intelligence benefits all of humanity.
Company info
- 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.
- Help build a diverse and inclusive culture where people feel welcome, challenge assumptions, and collaborate with candor and respect.
This listing is sourced directly from OpenAI's careers page and normalized into a canonical job model.