Lead technical vision and development of large-scale DNN models for ads conversion modeling, improving user action prediction with low latency. Requires 6+ years building production ML systems at scale and 2+ years leading technical projects.
223k – 390k/yr
Hybrid6+ YOEML Engineering
About the role
What you’ll do
Lead the technical direction and development of state-of-the-art applied ML projects for ads conversion
Design and build large-scale DNN models to improve user action prediction with low latency
Mine text, visual, and user signals to better understand intention and infer interests from online activity
Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality
Automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle
Coach and mentor engineers while collaborating with product and sales to design new ad products
What we’re looking for
Degree in Computer Science, Statistics, or a related field
6+ years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking)
2+ years of experience leading technical projects or teams
Demonstrated ability to use AI to improve speed and quality in day-to-day workflow
Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
High integrity and ownership: protect sensitive data, avoid over-reliance on AI, remain accountable for final deliverables
Strong mathematical foundation and experience with statistical methods and A/B testing
Skills
PythonTensorFlowPyTorchDeep Neural NetworksA/B TestingStatistical ModelingLLMsSQLMachine Learning SystemsRecommendation Systems
Lead technical vision for Pinterest's Ads Conversion Core Modeling team. Build state-of-the-art large-scale DNN models for user action prediction, mine multi-modal signals for intent understanding, and mentor engineers while leveraging AI tools to accelerate development.
223k – 390k/yr
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