Growth Analytics Developer Jobs

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Today

Machine Learning Engineer, Growth

OpenAI San Francisco, CA

San Francisco, CA

Today

$381k - $423k/yr Full time Data Analysis Data Analytics Data Processing

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Job Description

OpenAI’s Growth team is hiring a Machine Learning Engineer to build models and decision systems that optimize paid marketing spend for ChatGPT and other products.

Responsibilities

Build budget allocation algorithms for paid marketing investment.
Determine how to distribute spend across channels, campaigns, and markets using marginal return estimates 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 under delayed or noisy feedback.
Implement spend limits, monitoring, and safe fallback behavior.
Model marketing response and user value.
Develop forecasts and models of conversion, long-term value, and saturation to identify where the next dollar can have the greatest impact.
Evaluate decisions rigorously using simulations, backtesting, and online experiments to test allocation and control policies.
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 convert 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 improve investment decisions with evidence.
Support a diverse and inclusive culture by welcoming people, challenging assumptions, and collaborating with candor and respect.

Requirements

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

Technologies

Python
SQL

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), 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 office closures, plus paid sick or safe time (1 hour per 30 hours worked or more as required by applicable state or local law).
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 may include charitable donation matching and wellness stipends.

About the Team

The Growth team drives user and revenue growth across ChatGPT’s consumer and business segments and other OpenAI products worldwide.
Works across the full funnel from 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 from OpenAI products.
Partners closely with Product, Engineering, Data Science, Design, Finance, Lifecycle, and Growth Marketing.
Moves quickly, tests rigorously, and holds a high bar for measurement, privacy, reliability, and user trust.

Role Details

Build models and decision systems to optimize paid marketing investment for ChatGPT and other OpenAI products.
Base location: San Francisco, CA (hybrid).
Hybrid schedule: three days in the office per week.
Relocation assistance available for eligible employees.

Compensation

$381,000 - $423,000 + Offers Equity.
Base pay may vary based on individualized factors.
May include compensation-related bonus(es) for eligible employees.
This role is at-will; OpenAI may modify base pay and other compensation components at any time based on performance, team or company results, or market conditions.

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