Staff Software Engineer, Machine Learning
Core
Designing and implementing algorithmic improvements to the catalog system and product knowledge graph for a grocery and retail delivery marketplace.
Role type
Staff IC machine learning engineer (production systems)
Builds
Production ML models, optimization algorithms, and data/ML infrastructure for ads efficiency, budget pacing, and automated bidding.
Domain
Logistics / E-commerce / Advertising
Deliverable
production ML models
Required skills
Machine learning algorithms, AI coding tools, data/feature engineering pipelines, PySpark, Snowflake SQL, PyTorch, Keras, LightGBM, scikit-learn, Spark ML
Preferred skills
None stated
Technologies
PySpark, Snowflake SQL, PyTorch, Keras, LightGBM, scikit-learn, Spark ML
Responsibilities
Develop advanced ML models to improve ads efficiency and quality; Design and build optimization algorithms for budget pacing and automated bidding; Establish data-driven frameworks to understand bid density and market competitiveness; Develop new data solutions (embeddings, consumer profiles) for audience targeting; Own the end-to-end ML lifecycle from ideation to post-launch monitoring; Build and extend data/ML infrastructure for ads applications; Scale systems to fuel business growth.
Seniority
Staff, hands-on IC
