Staff Machine Learning Engineer, Ads Conversion Core Modeling

We're looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building state-of-the-art systems that power our global marketplace.

You will lead the technical direction and development of applied ML projects for ads conversion, designing and building large-scale DNN models to improve user action prediction with low latency.

Responsibilities:

• Lead 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, 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.

Requirements:

• Bachelor's degree in Computer Science, Statistics, or a related field.
• 6+ years of industry experience building production ML systems at scale.
• 2+ years of experience leading technical projects or teams.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow.
• Experience with Cursor, Copilot, Codex, or similar AI coding assistants.
• Familiarity with LLM-powered productivity tools.
• High integrity and ownership, protecting sensitive data and remaining accountable for final deliverables.
• Strong mathematical foundation and experience with statistical methods and A/B testing.

Benefits:

• Base salary range: $222,716-$389,753 USD
• Equity eligibility
• In-office collaboration 1-2 times per month

We offer an inclusive and inspiring workplace, with commitment to diversity and equal opportunities.