ML Infra Engineer for Monetization & Ads

Slope; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Slope is seeking an experienced Software Engineer in San Francisco to build machine learning infrastructure for monetization systems. You will design large-scale data pipelines, work on model training platforms, and enhance system performance.

The ideal candidate will have over 7 years of experience in software engineering and a strong foundation in machine learning workflows. Join us to shape the core of innovative advertising technology.

Qualifications

• 7+ years of professional software engineering experience in relevant fields.
• Experience with machine learning workflows including model training and deployment.
• Demonstrated ability to design reliable, low-latency systems.

Responsibilities

• Design and build the ML infrastructure for OpenAI's monetization and ads systems.
• Develop data pipelines processing large-scale impressions and clicks.
• Create scalable model training platforms.
• Collaborate with teams to accelerate advertising system development.

Skills

Distributed systems

Machine learning infrastructure

Data processing

Low-latency systems

High-volume data pipelines

Collaboration

Job description

Slope is seeking an experienced Software Engineer in San Francisco to build machine learning infrastructure for monetization systems. You will design large-scale data pipelines, work on model training platforms, and enhance system performance.

The ideal candidate will have over 7 years of experience in software engineering and a strong foundation in machine learning workflows. Join us to shape the core of innovative advertising technology.