Machine Learning Engineer, Growth

OpenAI is hiring a Machine Learning Engineer to optimize paid marketing investment using budget allocation models and production decision systems.

Responsibilities

• Build budget allocation algorithms to optimize investment across channels, campaigns, and markets
• Choose where to deploy spend 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
• Implement spend limits, monitoring, and safe fallback behavior
• Model marketing response and user value
• Develop forecasts for conversion, long-term value, and saturation to guide where the next dollar has the greatest impact
• Evaluate allocation and control decisions using rigorous methods
• Test policies with simulations, backtesting, and online experiments
• Partner with Data Science to measure incrementality and validate that 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
• Translate business goals into optimization problems
• Collaborate with Growth Marketing, Data Science, Engineering, and Finance to define objectives and constraints, communicate tradeoffs, and improve decisions with evidence
• Help build a diverse and inclusive culture where people feel welcome, challenge assumptions, and collaborate with candor and respect

Requirements

• 5+ years as a Machine Learning Engineer, Applied Scientist, Data Scientist, or comparable quantitative engineering role, or equivalent impact
• Experience building and operating production ML or quantitative decision systems and data pipelines through deployment, experimentation, and monitoring
• Strong software engineering skills; proficiency in Python and SQL
• Hands-on experience with ML frameworks and large-scale data systems
• Strong foundations in machine learning and statistics
• Experience applying optimization or control methods to decisions under uncertainty
• Experience evaluating models or algorithms with noisy, delayed, or incomplete data, with judgment balancing model quality, causal impact, and operational reliability
• Ability to turn ambiguous goals into focused experiments, interpret mixed results, and communicate clear decisions to technical and non-technical partners
• Collaborative working style and commitment to deploying AI responsibly in service of OpenAI’s mission

Technologies

• Python
• SQL

Location and Work Model

• San Francisco, CA (hybrid)
• Hybrid work model: three days in the office per week
• Relocation assistance offered to eligible employees

Compensation

• USD 381,000 - 423,000 per yearly base salary
• Offers Equity
• Base pay may vary based on individualized factors; eligible bonus(es) may apply
• At-will role; OpenAI may modify base pay and other compensation components based on individual performance, team or company results, or market conditions

Benefits

• 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)
• Paid time off: flexible PTO for exempt employees; up to 15 days annually for non-exempt employees
• 13+ paid company holidays and coordinated office closures; paid sick or safe time (1 hour per 30 hours worked, or more as required)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits (for example, charitable donation matching and wellness stipends) may be provided

About the Team

• Growth team drives user and revenue growth across ChatGPT’s consumer and business segments and other OpenAI products worldwide
• Works across the full funnel: awareness and acquisition through activation, retention, and expansion
• Uses experimentation, data science, machine learning, and product engineering to help more people discover and realize durable value
• Partners with Product, Engineering, Data Science, Design, Finance, Lifecycle, and Growth Marketing
• Moves quickly, tests rigorously, and maintains high standards for measurement, privacy, reliability, and user trust