Senior Applied Scientist, Shopping AI

What you'll do

• Design, develop, and deploy machine learning models for ranking, recommendation, and generative AI systems.
• Lead the end-to-end lifecycle of ML models from problem formulation and data exploration to productionization.
• Architect scalable pipelines for data preparation, feature engineering, model training, and serving.
• Conduct offline analyses and online experiments to evaluate performance and recommend data-driven improvements.
• Translate ambiguous business needs into clear scientific requirements and technical roadmaps.
• Implement responsible AI practices including monitoring, fairness checks, and bias mitigation.
• Mentor and coach other scientists and engineers on machine learning techniques and best practices.

What we're looking for

• Bachelor's degree in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
• 8+ years of experience applying machine learning or advanced statistical modeling in an industry setting.
• Experience delivering machine learning models into production environments.
• Proven experience working with large-scale data sets and model performance measurement for consumer or enterprise products.
• Experience conducting experimentation or A/B testing to evaluate model performance.
• Demonstrated success collaborating in cross-functional teams to turn research insights into shipped features.
• Ability to translate ambiguous business needs into clear scientific requirements and technical roadmaps.
• Ability to mentor and coach other scientists and engineers on machine learning techniques and tools.