OpenAI

1 month ago

Software Engineer, Monetization ML Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join OpenAI’s Monetization team to design and build the ML infrastructure powering monetization and ads systems. You’ll develop large-scale data pipelines, training platforms, and real-time inference/serving systems with low latency, while ensuring reliability, privacy, and security. Collaborate across ML lifecycle from data processing to deployment, optimization, and measurement at global scale.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems.
•Develop large-scale data pipelines that process impressions, clicks, conversions, advertiser data, marketplace signals, and other inputs used to train models.
•Create scalable model training platforms that support ranking, conversion prediction, quality prediction, bidding, targeting, measurement, and optimization workloads.
•Develop systems that safely and reliably move models from experimentation into production environments.
•Build and improve real-time inference and serving infrastructure with strict latency, throughput, reliability, and availability requirements.

Pay and Benefits

Salary: USD 293,000 - 441,000 annually

Key Requirements

•7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure
•Experience building platforms that support machine learning workflows (data processing, feature engineering, training, deployment or serving)
•Experience with high-volume data pipelines and large-scale online systems
•Strong ability to design reliable, low-latency systems with good operational observability
•Comfort working across the ML lifecycle from data to deployment, experimentation, and monitoring

Experience:7+ yearsAdvertisingMonetizationAiOpenai

Skills:CommunicationCollaborationProblem-solvingOwnershipTeamwork

Languages:English

Tech Stack:PythonSQLDockerKubernetesTensorFlowPyTorch

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

1 month ago

Software Engineer, Monetization ML Infrastructure

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems.
•Develop large-scale data pipelines that process impressions, clicks, conversions, advertiser data, marketplace signals, and other inputs used to train models.
•Create scalable model training platforms that support ranking, conversion prediction, quality prediction, bidding, targeting, measurement, and optimization workloads.
•Develop systems that safely and reliably move models from experimentation into production environments.
•Build and improve real-time inference and serving infrastructure with strict latency, throughput, reliability, and availability requirements.

Pay and Benefits

Salary: USD 293,000 - 441,000 annually

Key Requirements

•7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure
•Experience building platforms that support machine learning workflows (data processing, feature engineering, training, deployment or serving)
•Experience with high-volume data pipelines and large-scale online systems
•Strong ability to design reliable, low-latency systems with good operational observability
•Comfort working across the ML lifecycle from data to deployment, experimentation, and monitoring

Experience:7+ yearsAdvertisingMonetizationAiOpenai

Skills:CommunicationCollaborationProblem-solvingOwnershipTeamwork

Languages:English

Tech Stack:PythonSQLDockerKubernetesTensorFlowPyTorch

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor