Pinterest Deutschlandweit vor 3 Wochen

Staff Machine Learning Engineer, Ads Conversion

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Das ist der Job

Design and build large‑scale DNN models to improve user action prediction with low latency.

Darum lohnt es sich

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.

What you’ll do: Lead the technical direction and development of state‑of‑the‑art applied ML projects for ads conversion. 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. Demonstrated ability to use AI to improve speed and quality in day‑to‑day workflow for relevant outputs.

Experience with AI coding assistants such as Cursor, Copilot, Codex, or similar 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, and remain accountable for final deliverables. Strong mathematical foundation and experience with statistical methods and A/B testing. Relocation Statement This position is not eligible for relocation assistance.

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In‑Office Requirement Statement We recognize that the ideal environment for work is situational and may differ across departments. xayajpt This role will need to be in the office for in‑person collaboration 1–2 times every 6 months and therefore can be situated anywhere in the country.

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