Growth Analytics Engineer Jobs

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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 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

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