Machine Learning Engineer, Growth

OpenAI

. Build budget allocation algorithms for investment across channels, campaigns, and markets .

Posted 10/13/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $381,000 - $423,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production machine learning systems, with strong proficiency in Python and SQL. Capable of developing budget allocation algorithms and data pipelines while ensuring data quality and responsible AI deployment.

Highest-signal resume keywords

Machine Learning EngineeringBudget Allocation AlgorithmsData PipelinesPython ProficiencySQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceQuantitative Decision SystemsOptimization MethodsStatistical AnalysisExperimentationMonitoringProduction ML SystemsModel EvaluationData Quality Checks

Soft Skills

Collaborative Working StyleCommunication Skills

Tools & Technologies

ML FrameworksLarge-Scale Data Systems

Industry Keywords

Budget AllocationInvestment DecisionsCausal ImpactPrivacy and ConsentGrowth Marketing

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Build budget allocation algorithms for investment across channels, campaigns, and markets
Develop spend pacing and adaptive control systems
Adjust budgets and spending rates as performance changes
Build spend limits, monitoring, and safe fallback behavior
Develop forecasts and models of conversion, long-term value, and saturation
Use simulations, backtesting, and online experiments to evaluate allocation and control policies
Partner with Data Science to measure incrementality and validate investment outcomes
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
Partner with Growth Marketing, Data Science, Engineering, and Finance to define objectives and constraints
Communicate tradeoffs and use evidence to improve investment decisions
Help build a diverse and inclusive culture

Requirements

What you’ll need

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
Experience building and operating production ML or quantitative decision systems
Experience with problem formulation, data pipelines, 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
Ability to balance model quality, causal impact, and operational reliability
Ability to turn ambiguous goals into focused experiments and interpret mixed results
Ability to communicate decisions with technical and non-technical partners
Collaborative working style
Commitment to deploying AI responsibly
Ability to work from the US office three days per week

Benefits

Comp & perks

Equity
Performance-related bonus(es) for eligible employees
Medical, dental, and vision insurance for you and your family
Employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
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 medical and caregiver leave (up to 8 weeks)
Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays
Multiple paid coordinated company office closures throughout the year
Paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in offices
Meal delivery credits as eligible
Relocation support for eligible employees
Charitable donation matching and wellness stipends may also be provided
Immigration and sponsorship support may be provided based on individual circumstances