Senior Machine Learning Engineer - Economy ML

📋 Description

• Design and iterate on modern retrieval, ranking, and generative recommendation models (e.g.
• Make these models efficient to train and serve at scale: choose architectures and modeling
• Work backwards from ambiguous product problems and opportunities to design and ship end-to-end ML
• Develop models and policies that optimize pricing, conversion, and revenue while balancing
• Design and run robust experiments (A/B tests and multi-cell experiments), tying your work to core
• Keep models healthy in production: set up monitoring for data and prediction quality, catch drift

🎯 Requirements

• 3+ years of industry experience building recommendation, search, or ranking systems for a
• Deep, hands-on expertise in modern recommender architectures (e.g., sequence models of user
• Fluent in the ML lifecycle: Comfortable taking a problem from messy data and product ambiguity
• You think in terms of impact on users, creators, and the business, and you can reason clearly about
• You are comfortable designing experiments, diagnosing metric movements, and iterating quickly while
• You enjoy working closely with engineers, product managers, data scientists, and designers across

🎁 Benefits

• Equity compensation
• Full-time employee benefits as described on the Total Rewards page